- 23 December 1997 Geoff Hinton (UC London)
*From hinton@cs.toronto.edu Tue Dec 23 12:54:47 1997
Subject: postdoc and student positions at new centre
THE GATSBY COMPUTATIONAL NEUROSCIENCE UNIT
UNIVERSITY COLLEGE LONDON
We are delighted to announce that the Gatsby Charitable Foundation
has decided to create a centre for the study of Computational
Neuroscience at University College London. The centre will include:
Geoffrey Hinton (director)
Zhaoping Li
Peter Dayan
Zoubin Ghahramani
5 Postdoctoral Fellows
10 Graduate Students
We will study computational theories of perception and action
with an emphasis on learning. Our main current interests are:
unsupervised learning and activity dependent development
statistical models of hierarchical representations
sensorimotor adaptation and integration
visual and olfactory segmentation and recognition
computation by non-linear neural dynamics
reinforcement learning
By establishing this centre, the Gatsby Charitable Foundation is
providing a unique opportunity for a critical mass of theoreticians
to interact closely with each other and with University College's
world class research groups, including those in psychology,
neurophysiology, anatomy, functional neuro-imaging, computer
science and statistics. The unit has some laboratory space for
theoretically motivated experimental studies in visual and motor
psychophysics. For further information see our temporary web site
http://www.cs.toronto.edu/~zoubin/GCNU/
http://hera.ucl.ac.uk/~gcnu/ (The UK mirror of site above)
We are seeking to recruit 4 postdocs and 6 graduate students to
start in the Fall of 1998. We are particularly interested in
candidates with strong analytical skills as well as a keen interest
in and knowledge of neuroscience and cognitive science.
Candidates should submit a CV, a one or two page statement of
research interests, and the names of 3 referees. Candidates may
also submit a copy of one or two papers. We prefer email
submissions (hinton@cs.toronto.edu). If you use email please send
papers as URL addresses or separate messages in postscript format.
The deadline for receipt of submissions is Tuesday January 13,
1998.
Professor Geoffrey Hinton
Department of Computer Science
University of Toronto
Room 283
6 King's College Road
Toronto, Ontario M5S 3H5
CANADA
phone: 416-978-3707
fax: 416-978-1455
- 15 December 1997 Wei Zhang (Boeing)
Date: Mon, 15 Dec 1997 11:44:44 -0800
From: zhangw@redwood.rt.cs.boeing.com (Wei Zhang)
Subject: BOEING Applied Research Positions
The Information Management and Collaborative Technologies group in the
Applied Research and Technology division of the Boeing Company has
several openings for key technical contributors at various levels of
seniority. As part of an applied research organization, these
contributors will lead and participate in the assessment, definition,
adaptation, and deployment of advanced technologies into Boeing's
information processing environment. This environment includes a host
of very large, heterogenous information sources from the business,
engineering, and manufacturing domains, providing a great source of
motivation for applied researchers who are interested in making a real
impact with the results of their work.
Desirable areas of expertise include, but are not limited to:
-- Information Dissemination in Hybird Network Environments
-- Performance and Scalability of VLDB and Middleware systems
-- Data Mining and Warehousing
-- Information Mgmt in Asynchronous, Collaborative Environments
-- Workflow Management
QUALIFICATIONS
==============
Successful candidates possess a Ph.D. with a proven track record in
research or advanced development in the area of information management
and/or collaborative technologies. Ideal candidates have a balance of
research and practical development skills, however, exceptional
candidates with a very strong research record or advanced development
background are also encouraged to apply. Excellent communication
skills are important.
HOW TO APPLY AND LEARN MORE
===========================
Boeing can offer a competitive salary, comprehensive benefits, and the
satisfaction of contributing to the largest aerospace company in the
world. Please send your resume, including three references and salary
requirements, to:
Pamela Drew, Manager
Information Management and Collaborative Technologies Group
Attn: SEARCH
Boeing Shared Services Group
PO Box 3707, MS 7L-49
Seattle WA. 98124-2207
Applications will be accepted until the positions are filled.
- 10 December 1997 Fred Damerau (IBM)
Date: Wed, 10 Dec 97 08:06:46 EST
From: "Fred J. Damerau (862-2214)"
To: gps@kdnuggets.com
************************************************************************
********** PROGRAMMING POSITION ******************
********** NATURAL LANGUAGE UNDERSTANDING GROUP ******************
********** IBM T. J. WATSON RESEARCH LABORATORY ******************
********** YORKTOWN HEIGHTS, NEW YORK ******************
************************************************************************
The Natural Language Understanding Group, Mathematical Sciences Dept.,
IBM Thomas J. Watson Research Center (Yorktown Heights, NY) has an
opening for a Research Associate/Programmer (M.S. level). This is
a temporary, renewable one-year position. Primary job responsibility
will be the design and development of industrial strength SW in the
areas of text analysis/mining. We are looking for someone who is
interested in building systems to be deployed in real world applications
or products, i.e., in bridging the gap between research prototype and
systems impacting the real world. There is a strong emphasis on
self-motivation, broad competence in computer science/computational
linguistics, team work/communication skills, creativity and execution,
and serious programming experience (see below). Although there are no
guarantees, we expect this area to grow and so for the right person,
there is opportunity for renewal of the contract (up to 3 years) or
transition to a regular position. Here's what we're looking for:
Qualifications:
The ideal candidate would have the following knowledge and experience.
Education: MA/MS in computer science or other field with background in
computer science.
Programming languages:
Knowledge and experience in C/C++ required; Java is a plus.
Specialized Background:
Experience in implementing machine learning algorithms and/or
natural language processing algorithms is a plus.
Operating systems:
Required: Familiarity with Windows95/NT and Unix/AIX,
System programming/API experience on these operating systems not required.
General Software Development:
Familiarity with issues of large scale software development, e.g.,
API design and use, creation and integration of DLLs/Libraries,
source code control systems etc.
Candidates should send resumes and supporting letters to:
Thomas Hampp
eMail: hampp@watson.ibm.com
phone: 914-945-1714
- 8 December 1997 Laurence Jacobs (Credit Suisse)
From: Laurence Jacobs
Subject: Switzerland: Data Mining Jobs at Credit Suisse
Date: Mon, 8 Dec 1997 12:53:37 -0600
Loyalty Based Managment is a business strategy for identifying,
locating, obtaining, keeping and growing profitable customers and
productive employees. The LBM Project at Credit Suisse, Zurich,
Switzerland, involves the integration of several technologies and
managment systems, such as,
- Data Warehousing
- Data Mining and Knowledge Discovery
- Campaign Management
Credit Suisse is looking for
Project Manager Data Mining/Senior Data Miner
Data Mining Specialist/Junior Data Miner
for work to be performed in Zurich, Switzerland.
As a Project Manager you are responsible for a serious buildup of a Data
Mining Team at Credit Suisse. You are responsible to develop productive
Mining Models with the latest toolsets in Data Mining, such as Darwin from
Thinking Machines.
These models are developed for Marketing Purposes and tested with pilot
campaigns. You will work together with external, international
Specialists (Knowledge Stream Partners) to guarantee that serious Knowledge
can be transferred to the Credit Suisse Data Mining Team.
As a Data Miner you have a Masters or Ph.D. degree in Computer Science
or another one of the hard sciences. You are experienced with the
application of technologies from Statistics or Artificial intelligence
such as Decision Trees, Neural Networks and Nearest
Neighbor methods.
If you are interested and qualified, please contact Andreas Meier at
Credit Suisse at
100567.247@compuserve.com
- 1 December 1997 Beth Adelson (Rutgers U.)
Date: Mon, 1 Dec 1997 14:11:19 -0500 (EST)
From: Beth Adelson
Subject: postdoc at rutgers
RESEARCH POSITIONS AVAILABLE
RUTGERS UNIVERSITY
I'm looking for a Post Doc or two to work with me and my colleagues at
Rutgers on two projects that promise to be both central and
exciting.
PROJECT DESCRIPTIONS:
The first project involves the development of AlterEgo, an
intelligent wireless personal communication system with a number of
integrated devices. Our goals for the system include: 1.
Filtering information for users who have urgent pending messages
and minimal time to receive them; 2. Routing information to
appropriate devices; and 3. Responding appropriately even when the
user's information needs change rapidly. We are taking a case
based approach which will allow us to create a rich user model off
of which we will do extensive reasoning. The model will include
information about the user's professional environment in terms of
prioritized long term goals and opportunities for their
satisfaction; prioritized projects and resources needed for their
completion; professional relationships; and prioritized goals of
mentors, mentees, colleagues and competitors.
In the second project we are building an authoring system which
will allow students to create multi-media adventure games to be
used as labs for a number of disciplines (second language learning,
psychology, chemistry, etc.) We plan to create a system that will
involve the university community to the greatest extent possible;
faculty, students and possibly administrators will be creating and
producing the adventure games as well as using them.
REQUIRED QUALIFICATIONS:
A PhD in cognitive or computer science with a concentration in
interactive, user-based system design and case based reasoning
and/or user modeling
JOB DESCRIPTION
The successful candidate will have the opportunity to take the lead
in all aspects of the above two projects, from setting research
issues, to system implementation, to user testing. We are looking
for an individual who will enjoy the creativity, intiative and
organization needed for successful completion of these projects.
The deliverables we expect include: an implemented and tested
system, scholarly papers and contributions to further funding
efforts.
The salary is in the $36-$40K range and, depending on funding, may
be renewable for a second and third year.
We would like to begin work as soon as possible, but will be
flexible with respect to timing.
The work will take place at both the Camden and New Brunswick
campuses with easy access to Philadelphia, NYC and DC.
TO APPLY
Send a one page ASCII statement of interest relating your past and
ongoing work to the projects described here. Include a second one
page vita/bio describing your credentials, qualifications and
contact information for three references.
Email the above to:
Prof. Beth Adelson
adelson@cs.rutgers.edu
215.925.1774
- 28 November 1997 Susan Craw (Robert Gordon U.)
School of Computer and Mathematical Sciences
The Robert Gordon University
ABERDEEN
We currently have FIVE research Fellows/Assistants posts in a range of
Computing areas. The project titles are
o Content-based Indexing and Retrieval of Video
o Easing Knowledge Acquisition for Case-Based Design
o Maximising Knowledge Use in Engineering Re-Design
o The Abstract Interpretation of Genetic Algorithms
o Development of an Oncology Workbench
The posts and further details about the projects are available at
http://www.scms.rgu.ac.uk/vacancies/research.shtml
Application forms/further details for research positions from:
Personnel Department
The Robert Gordon University
Schoolhill
ABERDEEN
AB10 1FR
----------------------------------------------------------------------
Dr Susan Craw
Reader
School of Computer and Mathematical Sciences
The Robert Gordon University Telephone +44 1224 262711
Aberdeen AB25 1HG FAX +44 1224 262727
Scotland EMAIL smc@scms.rgu.ac.uk
WWW http://www.scms.rgu.ac.uk/staff/smc/
- 25 November 1997 Russ Greiner (U. Alberta)
From: Russ Greiner
Subject: PostDoc - Learning, Bayesian Nets - UofAlberta
Date: Tue, 25 Nov 1997 17:19:32 -0700
POST-DOCTORAL RESEARCH FELLOWSHIP
IN COMPUTER SCIENCE
University of Alberta
Edmonton, Canada
Applications are invited for a one-year (renewable) fellowship to work
in the areas of
* machine learning / learnability / datamining
* knowledge representation, especially Bayesian networks and other
probabilistic structures.
Candidates should have a PhD in Computer Science or the equivalent,
and will be required to carry out high quality research, to obtain
both theoretical and empirical results. Previous research excellence
and strong productivity in addition to good computing background is
essential.
Applications including
* CV
* statement of interests
* 1 or 2 publications
* list of references
should be sent ASAP (but no later than 15 January 1998) to:
Russell Greiner
Department of Computing Science
615 General Service Bldg
University of Alberta
Edmonton, AB T6G 2H1
Email: greiner@cs.ualberta.ca
Phone: 403 492 5461
Fax: 403 492 1071
Electronic submissions -- in plain text or postscript -- are encouraged,
especially as there is currently a mail strike in Canada.
See http://www.cs.ualberta.ca
for more information about the department in general.
- 21 November 1997 Pat Langley (Daimler-Benz,
Palo Alto, CA)
From: Pat Langley
Date: Fri, 21 Nov 1997 16:34:40 -0800 (PST)
Subject: research position at Daimler-Benz
The Intelligent Systems Laboratory at the Daimler-Benz Research and
Technology Center carries out research in artificial intelligence with
an emphasis on applications to transportation and information access.
Ongoing projects focus on the design, implementation, and evaluation
of intelligent systems that:
- recommend useful destinations, routes, and information to users
in the automobile environment and build models of those users'
preferences over the course of interaction;
- refine and annotate digital maps using trace data from a high-
resolution global positioning system, drawing on techniques
from theory revision.
We have an opening for a PhD-level researcher with experience in machine
learning and/or intelligent assistants to contribute to these efforts.
We are looking for someone with broad training in artificial intelligence
who is excited about incorporating ideas on advisory systems and machine
learning into prototypes that solve real-world problems.
If you are interested in this position, please respond by email to
langley@rtna.daimlerbenz.com with a summary of your experience and/or
your resume.
Pat Langley
Intelligent Systems Laboratory
Daimler-Benz Research & Technology Center
1510 Page Mill Rd., Palo Alto, CA 94304
(415) 845-2532 (office)
(415) 845-2555 (fax)
http://www.isle.org/~langley
http://www.rtna.daimlerbenz.com
- 18 November 1997 Janice Glasgow (Queens U.)
Postdoctoral Position
Department of Computing and Information Science
Queen's University
Kingston, Ontario
Canada
A postdoctoral position is available in an active research
group working in the area of artificial intelligence.
The position involves research in:
- visual/spatial reasoning and computational imagery;
- case-based reasoning; and
- applications to molecular biology and engineering
A PhD in artificial intelligence or related area is required.
Apply to: Janice Glasgow
Computing & Information Science
Queen's University
Kingston, Ontario
Canada K7L 3N6
E-mail: janice@qucis.queensu.ca
http://www.qucis.queensu.ca/home/janice/info.html
Salary and start date: negotiable
Deadline for applications: December 15, 1997
- 12 November 1997 John Laird (U. Michigan)
From: John E Laird
Date: Wed, 12 Nov 97 09:12:56 -0500
Subject: Faculty Position at Michigan
The University of Michigan's Division of Computer Science and
Engineering is searching for a faculty member (tenure track) in machine
learning at either the junior or senior level. We are looking for an
outstanding individual who will have impact not only in machine learning
but also in artificial intelligence as a whole. This individual will be
associated with the Artificial Intelligence Laboratory which consists of
nine full-time academic faculty, and seven associate or research
faculty. We have over fifty graduate students in our Ph.D. program,
with research funding over $4M/year. Our research covers a broad range
of topics in artificial intelligence. For more information on the AI
Laboratory, visit our web site: http://ai.eecs.umich.edu.
To apply for this job, please send resume and names of three or more
references to:
Professor Kang G. Shin
Chair of the Faculty Search Committee, CSE Division
Department of Electrical Engineering and Computer Science
University of Michigan
1301 Beal Avenue, Room 3402
Ann Arbor, MI 48109-2122
A Non-Discriminatory/Affirmative Action Employer
URL: http://www.cse.umich.edun
- 12 November 1997 Robert Amor (BRE)
Construction IT
The Building Research Establishment (BRE) is the UK's leading centre of
expertise on building and construction, and the prevention and control of
fire. BRE has recently created a "Centre for Construction IT" which brings
together IT research and development as well as promoting best practice in
the industry. Projects cover the gamut of VR, AI, domain modelling,
knowledge elicitation, simulation, OO systems and development, DBMS,
Internet applications, integrated systems, CSCW and concurrent engineering.
Senior Researcher in Advanced IT
To support this key role within a leading industrial sector we wish to
recruit a Senior Researcher in Advanced IT to develop and promote the
application of advanced IT. The post will include facilitating the UK
network of experts in AI and Knowledge Based Systems, managing and
developing projects including demonstration systems, and analysing and
promulgating the excellent use of technology.
Candidates would be expected to have an MSc or PhD with a strong IT
component and have at least three years experience of the construction
industry. Familiarity with CBR, data mining, integration, and concurrent
engineering would be beneficial, together with strong systems development
(including Prolog and C++) and analysis abilities. Excellent presentation
and facilitation skills will be needed in this post to establish and
maintain a wide network of contacts within the UK, Europe, and world-wide.
In return we are offering a salary up to A328,000 depending on the level
and skills you can bring to us.
If you feel that you can make a valuable contribution to our work, then
please write with full CV and in a covering letter quoting reference BRE
484/97 to: Dave Bloomfield, Centre for Construction IT, BRE, Garston,
Watford, WD2 7JR, UK, Tel: +44-1923-664510, or e-mail
bloomfieldd@bre.co.uk, by 28 November 1997. Early queries about this
position are encouraged.
BRE is an equal opportunities employer and the post is open to British,
European and Commonwealth Nationals. BRE operates a non-smoking policy.
--------------------------------------------------------------------
Dr Robert Amor trebor@bre.co.uk
Center for Construction IT Phone: +44-1923-664549
Building Research Establishment FAX: +44-1923-664689
Bucknalls Lane, Garston, Watford WD2 7JR, UK
WWW Home Page: http://www.bre.co.uk/ccit/
PGP Public Key: finger ramo01@cs.auckland.ac.nz
- 10 November 1997 Davide Roverso (STO)
From: Davide Roverso
Date: Mon, 10 Nov 1997 08:20:06 +0200
Subject: Norway: Research Positions at STO
STO
Oestfold Research Foundation (STO) is a Norwegian regional research
foundation established in 1988. STO is organized in three institutes,
Institute for Information Technology, Institute for Pollution Prevention,
and Institute for Local Government. STO has offices in Halden and
Fredrikstad, Norway and has about 55 employees.
HOW WOULD YOU LIKE TO WORK IN HALDEN, NORWAY, A CITY OF THRIVING
INFORMATION TECHNOLOGY AND ENVIRONMENTAL DEVELOPMENT?
A number of high tech research institutes and business companies have
helped to put Halden on the map as one of Norway's leading R&D
environments. Halden is the 3rd largest information technology centre
in Norway.
The city and its surroundings have a lot to offer in the way of nature
and open-air activities. Surrounding the city are large forests with
idyllic lakes. The archipelago of Hvaler and the Swedish West Coast
are also located within a short distance.
The city of Halden has a mixture of old and new residential areas
situated near the centre of the city. Property prices are reasonable
in Halden compared to those of the majority of Norwegian cities.
The Institute for Information Technology -(IFI) is located in Halden
and is a dynamic and international part of the regional and national
information techology environment.
IFI wishes to strengthen its competence in the following areas:
- Knowledge based systems
KBS in data mining, knowledge management and BPR
Expert systems
Neural networks
- Component Based Development
OOA/OOD/OOP, UML
CORBA, COM, DCOM, IIOP
Java, C++
- Database technology
RDBMS/OODBMS/OLAP/ROLAP,
Data Warehousing, Data Marts, Web Warehousing
and is seeking candidates at the Bachelor, Master or PhD level.
The work of the institute is based on research and development in both
private and public sectors. Our new personnel will be given
independent and challenging tasks in these areas.
We expect the applicants to have some experience from one or more of
the above mentioned areas as well as excellent written and spoken
communication skills in one of the Scandinavian languages or English.
Salary is negotiable, and it includes generous pension and
insurance schemes.
The workplace is Halden (alternatively Fredrikstad).
STO can assist regarding housing.
For more information, please contact Inger Ramstad, Davide Roverso or
Lars Solem.
email: inger@sto.no, davide.roverso@sto.no, lars@sto.no
Phone: +47 69 18 74 00
Fax: +47 69 18 74 14
Please forward your written application before 21.11.97
- 6 November 1997 Kimberly Bodelson (Santa Fe
Institute)
From: Kimberly Bodelson
Date: Thu, 6 Nov 1997 16:28:43 -0700
Subject: Postdoctoral Fellowships at the Santa Fe Institute
Postdoctoral Fellowships in Complex Systems Studies at the Santa Fe Institute
The Santa Fe Institute expects to have an opening for one or more
Postdoctoral Fellows beginning in September, 1998.
The Institute's multidisciplinary research program is devoted to the study
of complex systems, especially complex adaptive systems. Topics currently
under study include nonlinear dynamics and pattern formation; measures of
complexity; learning algorithms; agent-based modeling and simulation tools;
evolutionary biology; models of the immune system, cellular regulation, and
other biological systems; models of economic, political and social
interactions, and others. Postdoctoral Fellows work either on existing
research projects or on projects of their own choosing.
Candidates should have a Ph.D. (or expect to receive one before September
1998) in the mathematical, computational, physical, biological or social
sciences, with an academic record of scientific excellence, a demonstrated
ability for independent research, and a strong interest in
interdisciplinary approaches.
Special consideration will be given to those applicants who propose, as an
integral part of their research at SFI, a specific project involving
experimental work or data collection at locations other than SFI.
Candidates with such interests are requested to submit an outline of the
proposed offsite project, along with a supporting letter from the
organization through which the experiments or data collection is to be
coordinated. Although their primary reserach site will be SFI, successful
candidates in this category will receive salary and travel expenses from
SFI in support of offsite research.
Applicants should submit a curriculum vitae, list of publications, and
statement of research interests, and arrange for three letters of
recommendation. Incomplete applications will not be considered.
Non-U.S. applicants are eligible to apply. Successful foreign applicants
would enter the U.S. in either J or, less likely, an H visa.
All application materials must be received by February 20, 1998. Decisions
will be made by April, 1998. Send applications to: Postdoctoral
Committee, Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico
87501. Send complete application packages only, preferably by postal
mail, to the above address. Include your e-mail address and/or fax
number.
SFI is an equal opportunity employer.
Kimberly S. Bodelson
Electronic Communications Coordinator
Santa Fe Institute
1399 Hyde Park Road
Santa Fe, New Mexico 87501 USA
505-984-8800 Ext. 266 (phone)
505-982-0565 (fax)
ksb@santafe.edu (internet)
http://www.santafe.edu/~ksb
- 1 November 1997 Jon Turner (NYU)
This announcement describes several openings for faculty starting Fall
1998 at the Stern School of Business, New York University.
1) Faculty Positions
Applications are solicited for tenure track positions at all levels.
Entry-level candidates must receive the Ph.D. by summer 1998.
Candidates must present evidence of outstanding research and
teaching performance in the application of information technology
to the solution of business problems.
We are especially interested in fields such as data driven
learning and knowledge discovery, the economics of information,
electronic commerce, organization design and change, and human-
computer interaction. Salary is dependent upon qualifications
and is competitive with other leading business schools.
2) Visiting Faculty
Applications are solicited for full-time visiting positions at all
levels for the 1998-99 academic year. Visiting faculty teach at
the MBA or undergraduate level and are active in the research
activities of the department. Candidates must present evidence of
strong teaching and research performance.
Write to
Professor Jon Turner
Chair of the Recruiting Committee
Department of Information Systems
Stern School of Business
New York University
44 West 4th Street, Rm. 9-72
New York, NY 10012-1126
Fax: 212 995 4228
NYU encourages applications from women and members of minority groups.
- 17 October 1997 Bruce Golden (U. Maryland)
Subject: Faculty opening in statistical data analysis
Sent on behalf of Professor Bruce Golden
I am a professor of operations research at the University of Maryland. My
department is located within our Business School. We currently have a
vacancy for an asst. professor in computational statistics/exploratory data
analysis. I am on the search committee and would like to consider
candidates with an IDA slant who could help analyze massive data sets from
finance, marketing, telecommunications, etc. Do you have any suggestions?
Would it be possible for you to spread the word?
Thanks in advance for your help.
Bruce Golden
P. O. Box 149
Simpsonville, MD 21150
email: bgolden@umdacc.umd.edu
- 9 September 1997 Ross King (U. Wales)
Date: Tue, 09 Sep 1997 17:38:53 +0100
From: ROSS DONALD KING
Subject: Univ. of Wales, Research Associate
URL: http://www.aber.ac.uk/~dcswww/Public/Recruitment/Jobs/
Field: machine learning, statistics, bioinformatics
Place: Department of Computer Science
University of Wales, Aberystwyth
Wales, UK
The Centre for Intelligent Systems seek a postdoctoral researcher to
help develop the successful protein secondary structure program DSC.
This program came second in the CASP2 international competition. The
ideal candidate will have a background in machine learning or
statistics and an interest in applying this to an important biological
problem. The research will be done in collaboration with the Imperial
Cancer Research Fund and Glaxo-Wellcome.
The appointment will be for a fixed term of three years on Grade 1A
(15,159 to 21,894 UK pounds).
Application forms, returnable by 24 October, and further particulars
from Staffing Office, Old College, King St., Aberystwyth, Ceredigion
SY23 2AX, Wales, UK. (tel. +44 1970-622055). Informal enquiries to
Ross D. King on +44 1970-622432 or rdk@aber.ac.uk. See also
http://www.aber.ac.uk/~dcswww/Public/Recruitment/Jobs/
- 8 September 1997 Gerhard Paass (GMD)
POST-DOCTORAL FELLOWSHIP
- GENERALIZATION AND EXPLANATION -
GMD - GERMAN NATIONAL RESEARCH CENTER FOR INFORMATION TECHNOLOGY
The GMD - German National Research Center for Information Technology
is devoted to basic and applied research in Computer Science and
Information Technology. The facility is located near to Bonn and has
close relations to the univerties of Bonn and Cologne. It was founded
in 1968, has about 1200 employees and is mainly funded by the Federal
government. Its research themes range from differential mathematics
over neural networks and evolutionary algorithms to networking and
multimedia. Part of the research is funded by industry and
international research projects.
In the research group "Adaptive Systems" we offer a post-doctoral
fellowship for two or three years, which amounts to up to 70,000 DM
per year. Travel support is generous and the working conditions are
very pleasant!
We are looking for candidates interested in the research on the
predictive performance of neural networks and related models. A
special aspect is the explanation of the predictions of these
networks. Our interests include but are not limited to generalization,
tree based models, Bayesian statistics, exploration of networks. We
just started a real world application in credit scoring for
business loans.
The applicant should have a Ph.D. in statistics, operations research,
economics, or computer science. He/she should have very good knowledge
of neural networks and related models as well as programming skills in
C++ or Splus. Applications (including curriculum vita, list of
publications, research interests, names of references or
recommendations, and intended period of stay) should reach us until
September 30, 1997 (preferably by email). Statements of interest
should be sent as soon as possible.
Gerhard Paass
GMD-SET
Schloss Birlinghoven
D-53754 Sankt Augustin
Germany
Email: Gerhard.Paass@gmd.de
WWW: http://set.gmd.de/AS/nn/pages/nn.html
- 8 September 1997 Yuri Owechko (Hughes Research
Laboratories)
Date: Mon, 08 Sep 1997 17:39:11 -0700
From: Yuri Owechko
Subject: Research position at Hughes Research Laboratories
RESEARCH OPPORTUNITIES IN SIGNAL AND IMAGE PROCESSING
AT HUGHES RESEARCH LABORATORIES
Hughes Research Laboratories (www.hrl.com) has an immediate opening for a
Research Staff Member to join a team of scientists in the Signal and Image
Processing Department. Team members in this department have developed
novel, state-of-the-art sensor fusion systems, neural networks,
time-frequency transforms, and image compression algorithms for use in both
commercial, and military applications.
The successful candidate will investigate advanced signal and image
processing techniques for information fusion, and pattern recognition
applications. Current work is focused on the application of information
fusion techniques, neural networks, and computer vision techniques for
automatic target recognition, automotive safety, and pattern recognition
applications. Specific duties will include theoretical analysis, algorithm
design, and software simulation.
Candidates are expected to have a Ph.D. in Electrical Engineering, Applied
Mathematics, or Computer Science. Strong analytical skills and
demonstrated ability to perform creative research, along with experience in
signal and image processing, information fusion, or pattern recognition are
required. Practical experience with Matlab, C, or C++ is essential. Good
communications and teamwork skills are keys to success. Based on
government restrictions regarding the export of technical data, a U.S.
citizenship or resident alien status is required.
Overlooking the Pacific Ocean and the coastal community of Malibu, the
Research Laboratories provides an ideal environment for you to make the
most of your scientific abilities. Our organization offers a competitive
salary and benefits package.
Additional information may be obtained from Lynn Ross. For immediate
consideration, send your resume to:
Lynn W. Ross
Department RM21
Hughes Research Laboratories
3011 Malibu Canyon Road
Malibu, CA 90265
FAX: (310) 317-5651
Internet: lross@msmail4.hac.com
Proof of legal right to work in the United States required. An Equal
Opportunity Employer.
- 2 September 1997 Peter Flach (for U. Bristol)
Date: Tue, 2 Sep 1997 16:41:16 +0200
From: Peter.Flach@kub.nl (Peter A. Flach)
Subject: Visiting research fellowship in ILP at Bristol
Visiting research fellowship in Inductive Logic Programming
at the University of Bristol
The Department of Computer Science at the University of Bristol has a post
available for a visiting researcher with experience in Inductive Logic
Programming. The position is available from 1 October 1997 for a maximum of
15 months, and is supported by the ESPRIT Long Term Research project ILP2.
The main focus of the ILP2 work at Bristol is on descriptive induction of
non-classificatory rules; within the context of this work, the visiting
researcher is expected to contribute his or her particular approach.
More information on this position can be obtained from Peter Flach. Please
send your application and CV as soon as possible to Peter.Flach@cs.bris.ac.uk .
- 29 August 1997 Paul Chung (Loughborough University)
RESEARCH ASSISTANT
Applications are invited to work on an EPSRC-funded project entitled
"Integration of Incident Data into Process Design and Control
Systems".The overall aim of the project is to apply case-based
reasoning to index and retrieve incident reports. The retrieval system
is also to be integrated with process plant design and control
systems.
The post is available for 18 months starting as soon as possible.
Starting salary will be in the range 15159 - 16927 pounds. The
minimum requirement is a degree in Computing Science. Closing date:
19th September 1997
For further details please contact:
Dr Paul Chung
Department of Chemical Engineering
Loughborough University
Loughborough
Leics, LE11 3TU
Tel 01509 222543,
Email: p.w.h.chung@lboro.ac.uk
- 28 August 1997 Emil Weydert (Max Planck Inst)
From: Emil Weydert
Date: Thu, 28 Aug 1997 10:54:15 +0200 (MET DST)
Subject: MAX PLANCK INSTITUTE: Postdoc in Uncertain Reasoning
URL: http://www.mpi-sb.mpg.de/~weydert/depro
POST-DOCTORAL FELLOWSHIP
- UNCERTAIN REASONING -
MAX PLANCK INSTITUTE FOR COMPUTER SCIENCE
The Max Planck Institute for Computer Science is devoted to basic
research in Computer Science. The institute is located on the campus
of the University of Saarbruecken (Germany, close to France), which
also hosts a major Computer Science department and the German Research
Center for Artificial Intelligence (DFKI). It was founded in 1990 and
currently consists of two research units, two more to follow in 1998.
1. Algorithms and Complexity (headed by Kurt Mehlhorn).
2. Programming Logics (headed by Harald Ganzinger).
In the area "Uncertain Reasoning", the research group "Programming
Logics" offers - starting December 97 or later - a post-doctoral
fellowship for one or two years, which amounts to up to 3,400 DM per
month, taxfree. Travel support is generous and the working conditions
are very pleasant!
We are looking for candidates interested in the combination of
quantitative and qualitative approaches to reasoning under
uncertainty. Our interests include but are not limited to
probabilistic logic, entropy maximization, default reasoning, bayesian
networks, qualitative decision theory and data mining.
Applications (including curriculum vita, list of publications,
research interests, names of references or recommendations, and
intended period of stay) should reach us until September 20, 1997
(preferably by email). Statements of interest should be sent as soon
as possible.
Emil Weydert
Max-Planck-Institut fuer Informatik
Im Stadtwald
D-66123 Saarbruecken
Germany
emil@mpi-sb.mpg.de
http://www.mpi-sb.mpg.de/~weydert/depro
- 26 August 1997 Daniel Berleant (U. Arkansas)
From: djb@engr.uark.edu (BERLEANT DANIEL J)
Date: Tue, 26 Aug 1997 14:38:55 -0500
Subject: University of Arkansas, Computer Systems Engineering Department
NOTE: The chancellor has recently targeted our dept. for a major
expansion. We now have four (not one) open positions. We would like
to see applications at the assistant professor as well as senior
levels. "Background in engineering" could mean a B.S. or M.S. in
engineering, so a Ph.D. in computer science is fine.
NOTE 2: I am interested in applicants in the areas of data mining,
information retrieval, and related areas, and would like to hear from
you if you decide to apply.
====================================================================
University of Arkansas
Computer Systems Engineering Department
The Department of Computer Systems Engineering invites applicants for
a tenure-track position at the Assistant Professor level. Applicant
must have a Ph.D. in engineering or computer science and possess an
interest in and ability to teach in the software area. Preference will
be given to candidates with a background in engineering. The
successful applicant will emphasize quality teaching (currently two
courses per semester) at the graduate and undergraduate levels and a
demonstrated potential to initiate research projects while attracting
external funding.
The Computer Systems Engineering Department is a dynamic and growing
department within the College of Engineering with research areas in
computer architecture, telecommunications, human computer interaction
and other areas.
Departmental resources include a network of over 50 Sun workstations
and 50 PC's linked to the College of Engineering's network, new NCR
equipment, and laboratories including the Computer Architecture
Laboratory, Image Processing Laboratory, Networking Laboratory, and
Software Artifact R & D Laboratory. The department has approximately
300 undergraduate and 30 graduate students with 10 full time faculty.
The University of Arkansas is located in Fayetteville, situated with
several other dynamic, growing communities in the beautiful
Northwestern part of the state in the Ozark mountains. The academic
units on the campus include eight colleges and schools with nearly
15,000 students, 800 faculty and 2,000 staff members.
A curriculum vitae, three references, and a small amount of optional
supporting materials will be accepted until the position is
filled. All candidates should indicate citizenship and, in the case of
non-citizenship, visa status. Mail to:
Dr. Carl D. Bowling
Search Committee Chair
Professor and Head
Computer Systems Engineering Department
University of Arkansas
Engineering Hall 313
Fayetteville, AR 72701
The University of Arkansas is committed to achieving diversity,
racial, ethnic, and gender in its faculty. Therefore, the University
is especially interested in applications from all qualified
candidates who would contribute to such diversity in the Computer
Systems Engineering Department.
- 10 August 1997 Peter Flach (for U. Bristol)
Date: Sun, 10 Aug 1997 17:47:33 +0100
From: "Peter A. Flach"
Subject: Visiting research fellowship in ILP at Bristol
Visiting research fellowship in Inductive Logic Programming
at the University of Bristol
The Department of Computer Science at the University of Bristol has a post
available for a visiting researcher with experience in Inductive Logic
Programming. The position is available from 1 October 1997 for a maximum of
15 months, and is supported by the ESPRIT Long Term Research project ILP2.
The main focus of the ILP2 work at Bristol is on descriptive induction of
non-classificatory rules; within the context of this work, the visiting
researcher is expected to contribute his or her particular approach.
More information on this position can be obtained from Peter Flach. Please
send your application and CV by September 5 to Peter.Flach@cs.bris.ac.uk .
- 8 August 1997 Tom Warden (ARPC)
Date: Fri, 08 Aug 1997 16:52:30 -0600
From: Tom Warden
Subject: Menlo Park, CA: Applied Research Position - Data Mining
Following is a job description for an opening we currently have. No URL
is available.
Applied Research Position - Data Mining
The Allstate Research and Planning Center (ARPC), a unit of the Allstate
Insurance Companies, is forming a group to conduct data mining
research. The group's major objective is to evaluate, with a variety of
techniques, the company's large operational databases for significant
new information and relationships that can be utilized to improve
Allstate's profitability. Areas of interest to the company for this
research include claims fraud detection, underwriting models, pricing,
customer retention, and investment portfolio management.
The group will be comprised of individuals with strong backgrounds in
data analysis, as well as individuals from within Allstate who possess
both insurance knowledge and quantitative skills. Allstate is an Industrial
Partner of the NCSA (National Center for Supercomputing Applications),
whose resources will be available for use by the group.
Qualified candidates will possess an advanced degree (Ph.D. preferred)
in computer science, mathematics, statistics, operations research or a
related field with a concentration in one or more of the following areas:
machine learning, artificial intelligence, data visualization, and/or
computational methods with very large datasets. Candidates should be
inquisitive, creative problem-solvers who are interested in formulating
and implementing solutions to complex business problems. They also
need to work well both independently and in a collaborative environment.
ARPC is located in Menlo Park, California. For over thirty years it has
served as the basic research facility, pioneering many information-driven
innovations, for Allstate, a publicly-traded Fortune 50 company with over
$20 billion of revenues and $70 billion of assets.
Allstate is an Equal Opportunity Employer.
Please send resumes to:
Gary Kerr (gkerr@allstate.com) or Tom Warden (tward@allstate.com)
Allstate Research & Planning Center
321 Middlefield Road
Menlo Park, CA 94025
Resumes may be faxed to: (415) 324-9347
- 29 July 1997 Benedict Tanyi (Fujitsu)
From: Benedict Tanyi
Subject: UK: FUJITSU European Centre For information technology (FECIT)
Date: Tue, 29 Jul 1997 16:34:00 +0100 (BST)
URL: http://www.fecit.com
POSITION AT THE FUJITSU EUROPEAN CENTRE FOR
INFORMATION TECHNOLOGY (FECIT)
FECIT (a subsidiary of Fujitsu Ltd., Japan) is a
multidisciplinary research centre devoted to the development
of information technology on the latest high performance
parallel computers (visit http://www.fecit.com for more
information on FECIT's research activities).
Applications are invited from recent PhDs or suitably qualified
graduates for a Research Position in Data Mining/Warehousing
within the Financial Engineering Group at FECIT.
Applicants should be skilled in the latest Data Mining/Warehousing
technologies, in particular, Genetic Algorithms, Neural Networks,
statistics, etc. Experience in the use of high-performance parallel
architectures for Data Mining/Warehousing is highly desirable.
Excellent software development skills are required and a good general
mathematical background is essential.
It is also essential that the applicants have:
- the ability to do independent research;
- the ability and desire to work in teams of individuals
with diverse backgrounds;
- enthusiasm for working on applications;
- good communication skills.
Start Date: immediate or as soon as possible.
Salary : excellent remuneration package available.
Informal Enquiries can be directed to:
Dr. Koji Tajima Dr. Benedict Tanyi
E-mail: tajima@fecit.co.uk E-mail: tanyi@fecit.co.uk
Tel: +44(0)181-606-4520 Tel: +44(0)181-606-4444 Ext. 2151
Qualified candidates should send their CVs to:
Mrs. Edna Davis
Fujitsu European Centre for Information Technology Ltd
2 Longwalk Road
Stockley Park, Uxbridge
Middlesex UB11 1AB
United Kingdom.
- 21 July 1997 Brij Masand (GTE Labs, Waltham, MA)
Date: Mon, 21 Jul 1997 10:23:31 -0400
From: Brij Masand
Subject: KDD Job at GTE Laboratories, Waltham, Ma
**** An Applied Researcher/Developer with Database experience *****
**** needed for The Knowledge Discovery in Databases group at *****
**** GTE Laboratories *****
Description: Participate in the design and development of
state-of-the-art systems for data mining and knowledge discovery.
The focus of the job is on integrating relational databases with
KDD systems, including development of prototypes to demonstrate
innovative business applications of KDD.
The candidate will join one of the leading R&D teams in the
area of data mining and knowledge discovery. Principal
responsibilities will include managing our relational database system
and related support for the various KDD activities. Our current
projects include predictive customer modeling for GTE's cellular
telephone markets ( 4 million customers), analysing web usage data and
discovering interesting changes in customer databases. We are applying
multiple learning and discovery methods to large, high-dimensional
real-world databases, involving millions of records and Gbytes of data
and have created KDD-based solutions that are being deployed in the
field.
The ideal candidate will have a Ph.D. or M.S. in Machine
Learning/Databases/related fields and 2-3 years of experience. The
candidate should have significant experience with relational database
systems and be proficient in SQL. Experience with machine learning
algorithms and statistical techniques is expected. Experience with Web
programming and proficiency with HTML, Javascript, Java would be a
plus. Excellent coding skills in C/Unix environment and an ability to
quickly pick up new languages and technologies are needed. Good
communication skills, the ability to work in a team, and good system
maintenance practices are very desirable.
GTE Laboratories Incorporated, located in Waltham, Ma is the
central research facility for GTE. GTE is among the largest local
telephone carriers and provides local, long distance, cellular and
internet services. Our research facility is located on a quiet 50
acre campus-like setting in Waltham, MA, 20 minutes from downtown
Boston. Our salaries are competitive, and our outstanding benefits
include medical/life/dental insurance, saving and investment plans,
and an on-site fitness center.
Please send a resume and a cover letter
(preferably by e-mail, in ASCII) to:
kddjob@gte.com
or by fax to 617.466.3342 (Attn: Brij Masand)
- 16 July 1997 George John (IBM)
From: "gjohn@almaden.ibm.com"
Subject: IBM Data Mining Jobs
Date: Wed, 16 Jul 1997 01:39:22 -0400
IBM DATA MINING ANALYST and DATA ENGINEER POSITIONS
IBM's data mining group is growing again! We need 12 more analysts
and data engineers for our highly successful data mining group.
Join our team in an exciting multi-faceted career in data mining!
SENIOR DATA MINING ANALYST
Duties:
Interact directly with customers, help them understand data mining,
define a project, analyze their data, and present results; teach data
mining classes and develop course materials; travel (eg, Maui, Paris,
Tokyo, Sydney, Rio de Janiero,... and maybe a few less exciting
places); interact with researchers and product developers, discuss
ideas for new data mining algorithms, new business applications, new
product features, and new visualizations; assist sales reps in
customer visits; assist marketers in developing demos and brochures.
The ideal candidate has:
Excellent understanding of the data analysis process; experience in
using data mining to solve problems; PhD in statistics, machine
learning, neural nets, pattern recognition, or related, or MS/MBA with
several years' experience; excellent communication and presentation
skills; Unix & PC skills.
DATA ENGINEER
Duties:
Assist senior analysts on data mining projects: data extraction,
loading, cleaning, transformation; work with databases, create tables,
extract data from tables; work with statistical tools, transform
variables, reduce variables, calculate summary statistics and plots;
run data mining tools; assist with other Senior Analyst duties if
interested and capable.
The ideal candidate has:
BS or MS in computer science, statistics, or related fields, or several
years' related experience; good UNIX and Win95 skills; good SQL, PERL,
AWK, or statistical tool skills; experience in data cleaning and
transformation; experience working with large databases; interest
in learning more about data mining.
Salaries are competitive, and based on experience. IBM's data mining
group is growing quickly, and offers excellent career opportunities.
Candidates for both positions should be energetic, fast learners,
dedicated to quality, and fun to work with.
For more information on data mining at IBM, see the webpage for IBM
Global Business Intelligence Solutions (our parent organization) at
http://www.ibm.com/bi
To apply for a position, send resume to
Dr. Ion Ratiu
Manager, Data Mining Analytical Services
IBM Global Business Intelligence Solutions
11400 Burnet Rd / IBM Zip 9661
Austin, TX 78758
Email: ratiu@us.ibm.com
FAX: 512-838-2457
ASCII (plain text) via email is *strongly* preferred. Please put
"DMJOBS-97.2:" then your name in the subject.
IBM is an equal opportunity employer.
--George H. John, PhD gjohn@almaden.ibm.com
--Senior Analyst, Data Mining Solutions, IBM Almaden
--(408) 927-2088 FAX (408) 927-2100 IBM Tie: 8-457-
- 16 July 1997 Donal Lyons (Trinity College, Dublin)
From: Donal Lyons
Subject: Experienced researcher in Data Mining
Date: Wed, 16 Jul 1997 11:55:22 -0400
The School of Systems and Data Studies, Trinity College, Dublin, Ireland is
interested in discussing a visiting researcher position with an experienced
researcher in the Data Mining field. The intention is to apply for EU
funding for this position, as outlined below.
If any EU (or Associated State) researcher is interested in exploring this,
please contact me.
============================================================================
EU funding is available to enable experienced researchers to come to less
favoured regions such as Ireland for one year - salary and mobility costs
are provided by the EU - there is a high success rate.
One of the priorities of the fourth framework is the training and mobility
of researchers - through the training and mobility of researchers programme
(TMR), also called Marie Curie Fellowships. There are different type of
categories open, pre-doctoral, post-doctoral, return grant and experienced
researcher.
The category of experienced researcher is very under utilised and good
proposals will be funded. Engineering and Mathematics are underrepresented.
A proposal for the School of Systems and Data Studies:
The School has an interest in forming an ongoing Data Mining Interest
Group. This would consist of a number of staff whose research interests
lie in this area and some graduate students. To set up this group, an
experienced researcher with expertise in the area of Data Mining would be
of great value. The specific tasks most needed are:
1) Setting up the Data Mining Interest Group;
2) Technology transfer to staff, post-graduate and undergraduate
students via Seminars and Courses;
3) Development of course material for subsequent use;
4) Data Mining consultancy with Irish companies;
5) Co-authorship of research papers;
6) Development of algorithms for use on parallel processing
Supercomputer.
The exact mix of these and other tasks could be varied depending on the
interests and experience of the visitor.
What is an Experienced Researcher?
The experienced researcher category is reserved for scientists who wish to
join a research team in a less-favoured region of a country other than
their own nationality. These researchers who will have at least 8 years
full-time research experience at post graduate level will, in the capacity
of 'visiting professors', impart their knowledge and research experience.
The researcher must be a citizen of an EU Member (or Associated) State.
Funding available:
Negotiable with the commission - will cover salary and mobility costs for
the experienced researcher for a year (based on what the researcher was
earning in his home country - it is normally generous).
Deadline:
15-12-1997 for a decision date of 15-05-1998.
Donal Lyons, Phone (1000-1700 GMT) +353 1 608 1919
Lecturer (Information Systems) Phone Messages +353 1 608 1767
School of Systems & Data Studies
Trinity College, Dublin 2, FAX on request
Ireland.
................http://www2.tcd.ie/Statistics/staff/dlyons.html........
- 20 June 1997 Ross Quinlan (U. Sydney)
Postdoctoral Position in Machine Learning
University of Sydney
A research-only position is available in
First-Order Learning
(for two years, with the possibility of renewal for a third)
The position is funded by the Australian Research Council as part of a
project on ways of strengthening first-order learning techniques.
Applicants should have a recent PhD in AI or have submitted their thesis
before applying. Requirements include knowledge of symbolic empirical
learning techniques, excellent communication skills, and well-developed
programming skills in C and/or C++. A knowledge of first-order
learning is not essential, but would be an advantage.
The salary will be in the range A$40,804 to A$43,801 (taxable).
Please contact quinlan@cs.su.oz.au.
- 13 June 1997 Patricia Riddle (U. Auckland)
DEPARTMENT OF COMPUTER SCIENCE
UNIVERSITY OF AUCKLAND
Research Studentship in Knowledge Discovery and Datamining
The Artificial Intelligence Group at the University of Auckland has a
vacancy for a
Research Assistant
Applications are invited for an PhD studentship, within the Artificial
Intelligence Group, at the Department of Computer Science, University
of Auckland New Zealand. The three-year studentship is for the
investigation of making intelligent data analysis techniques usable by
novice data owners. The successful candidate will have a tax-free
scholarship of NZ$12,000 dollars and will be expected to work on a
research project on "Novice Tools for Knowledge Discovery". Student
fees will also be covered for NZ, French, or German students. An
additional teaching fellowship of NZ$4800 (taxable) might also be
provided by the Computer Science Department.
The AI Group at Auckland conducts research into constraint
satisfaction, datamining, machine learning, planing, and spatial
reasoning.
Applicants should have at least a Masters in Computer Science or
related subject, with a good background in Artificial Intelligence
or Statistics. Please submit a CV as soon as possible, but
not later than 31 July 1997, to
Dr P Riddle,
Department of Computer Science,
University of Auckland,
Private Bag 92019, Auckland,
New Zealand.
Phone Dr Riddle on (64) (9) 373-7599 (ext 7093), fax at (64) (9)
373-7453 or send email to (pat@cs.auckland.ac.nz) if you wish to make
an informal enquiry.
General information on PHD studies at Auckland University can be found
at:
http://www.cs.auckland.ac.nz/~cthombor/PhD/info.txt
- 12 June 1997 Paul Kantor (Rutgers)
Post-Doctoral Position in Information Retrieval
A new DARPA-funded 3-year research project "A Novel Approach
to Information Finding in Networked Environments" is
starting July 1997, at Rutgers, the State University of New
Jersey. There is an immediate opening for a Post-Doctoral
appointment in this project, which involves the development
of models, algorithms and programs to facilitate information
finding in complex networks. The successful applicant will
have experience programming in C or C++, and some knowledge
of object-oriented programming and of information retrieval.
Experience with pattern recognition and or machine learning
is a definite plus. Excellent salary and benefits. Send
letter of interest and brief CV to the Principal
Investigator, Prof. Paul Kantor at
(kantor@scils.rutgers.edu). Top candidates will be
interviewed at the RIAO conference in Montreal, at the
Digital Library Conference in Philadelphia, and at the ACM-
SIGIR conference in Philadelphia. Applications will be
accepted until the position is filled. Rutgers is an equal
opportunity employer.
- 11 June 1997 Melanie Mitchell (SFI)
Date: Wed, 11 Jun 1997 16:56:26 -0600
From: Melanie Mitchell
Subject: Graduate research position available at SFI
Graduate research position available at the Santa Fe Institute
with the Evolving Cellular Automata (EVCA) project
Project leaders: Jim Crutchfield and Melanie Mitchell
Our group at the Santa Fe Institute has been applying evolutionary
computation techniques to design cellular automata and other
decentralized multiprocessor systems to perform computations. Our
group's work has two main thrusts: understanding how emergent
computation can occur in spatially-extended decentralized systems, and
understanding how an evolutionary system can produce complex, coherent
behavior in such a system. Part of what we are doing in this context
is formulating a mathematical theory of evolutionary search on
landscapes, taking tools from statistical mechanics and stochastic
process theory. Another novel aspect of our approach is the
development and application of new methods to detect and analyze the
computational structure in the evolved systems. We believe this work
will eventually lead to (1) a better understanding of how evolution
interacts with nonlinear decentralized systems in nature to produce
adaptive coordinated behavior, and (2) biologically inspired methods
for the automated design of parallel and distributed computing
systems.
We are searching for a graduate student interested in pursuing a
Ph.D. on this project, particularly on the topic of evolving and
analyzing two-dimensional cellular automata. Most of our work to date
has been with one-dimensional systems; doing similar work in two
dimensions is an extremely important and almost completely open
problem.
This work is interdisciplinary: relevant fields include machine
learning, theory of computation, architectures for distributed
parallel computation, nonlinear dynamics and statistical physics,
evolutionary biology, and the mathematics of stochastic processes. We
(the project leaders), Jim Crutchfield and Melanie Mitchell, are
respectively a physicist and a computer scientist. For the
two-dimensional CA project, we are looking for someone with background
in any of the above areas, and who is also a highly skilled programmer
who enjoys working in new programming environments. The simulation
work will be done using a CAM-8 (a special-purpose parallel machine
for simulating cellular automata).
The Santa Fe Institute (SFI) is a interdisciplinary scientific
research center in Santa Fe, New Mexico, whose research focuses on the
sciences of "complexity." Research programs include adaptive
computation; computation, dynamics, and inference; economics;
theoretical biology; theoretical immunology; theoretical ecology;
anthropology; neurobiology; artificial life; and foundations of
complex systems. There is a small semi-permanent faculty along with a
larger external faculty, several postdocs, and many other prominent
scientists from many universities around the world who spend extended
periods at the Institute. Although SFI does not grant degrees, it has
a number of resident graduate research assistants who are officially
enrolled at degree-granting institutions but do their dissertation
research at SFI under the guidance of an Institute faculty member.
We are looking for students who have successfully completed their
graduate course work, are ready to engage in research leading to a
dissertation, and are willing to spend between one and three years at
SFI working on their dissertation starting this coming summer or fall
(1997). The position will carry a stipend of approximately $19,000
per year, plus moving expenses. The student must have an official
advisor at their home institution who is willing to have the student
perform his or her work at SFI under our guidance. Non-US citizens
are welcome to apply.
Interested students should send a letter stating their interest in
this position along with a resume including (1) a synopsis of
course work and grades, (2) a synopsis of computer programming
experience and proficiencies in programming languages; (3) a synopsis
of research experience if any (and publications, if any); and (4) any
other information relevant to the student's application. These should
be sent (preferably by email) to:
James P. Crutchfield
Santa Fe Institute
1399 Hyde Park Road
Santa Fe, NM 87501
email: jpc@santafe.edu
The student should also arrange for two letters of recommendation to
be sent to this address (also preferably by email).
For more information and for our publications on this project, see our
group's Web page (http://www.santafe.edu/projects/evca). Also see the
Computational Mechanics Web page
(http://www.santafe.edu/projects/CompMech). For more information on
the Santa Fe Institute, see the SFI's Web page
(http://www.santafe.edu). For information on the CAM-8, see
http://www.im.lcs.mit.edu.
James P. Crutchfield Melanie Mitchell
Research Professor Research Professor
Santa Fe Institute Santa Fe Institute
- 10 June 1997 Ed Babb (PARSYS)
JOB IN DATA MINING!
JOB IN DATA MINING!
PARSYS is a leading European supplier of parallel systems and technology. They
are currently the lead partner in a large multinational ESPRIT project aimed at
building a parallel data mining file server and client. They are looking for
people interested in data mining systems and with experience of the enabling
technologies of user interfaces, databases and machine learning. Knowledge of C
programming is essential. Knowledge of PROLOG, JAVA and Visual Basic would be
useful.
At least a 2.1 degree in Computing, Artificial Intelligence or equivalent is
needed. In addition, several years relevant experience is desirable. Salary up
to 35K pounds depending on experience.
Please post your CV stating current salary to: Ed Babb, PARSYS LTD, Boundary
House, Boston Road, Hanwell, London, W7 2QE, UK. Alternatively email him on
ed@parsys.co.uk if you wish to make any brief informal enquires.
Please see "http://www.parsys.com/datamine.htm" for information on data mining
group.
- 9 June 1997 Bob Schrag (Information
Extraction & Transport)
Information Extraction & Transport (IET) has an immediate opening for a
research scientist to develop challenge problems for a new
U.S. Government-sponsored research initiative in knowledge base
technology.
High Performance Knowledge Bases (HPKB) is a four-year initiative
sponsored by the Defense Advanced Research Projects Agency (DARPA).
HPKB is aimed at developing innovative technologies supporting the
construction of knowledge bases (KBs), ontologies, and associated
libraries of problem-solving strategies. These technologies will
facilitate rapid creation, evolution, and maintenance of much larger
KBs, ontologies and problem solvers than is possible today.
Approximately two dozen leading research institutions will participate
in annual Challenge Problem evaluations and conferences.
IET has been selected to develop challenge problems to focus and
evaluate HPKB technology. Our challenge problem domain involves
defining requirements and exercising technology for intelligent tools
in DARPA's Project Genoa to support "Crisis Management" for decision
makers at the highest levels of Government. A "crisis" is defined as
any events occurring on foreign soil which, if left unchecked, could
require the intervention of U.S. military forces. Intelligent tools
might assist in providing crisis indications and warning, forming
crisis action teams, setting up channels of information gathering,
digestion, and dissemination, or formulating course-of-action
responses. In performing each of these functions, a corporate memory
about past crises may play a central role.
IET has an immediate opening for a research scientist to play a
formative role in developing these challenge problems and in designing
effective evaluation procedures for them. This position will involve
significant interaction with the KB research community, especially
leading universities, and with Government programs applying this
technology in Crisis Management.
IET is an expanding R&D company that does custom artificial
intelligence and robotic systems research, design, and development, as
well as elicitation and modeling of expert knowledge. IET specializes
in state-of-the-art developments in knowledge- and model-based
inference, computer modeling of human expertise, image understanding,
human-computer interface, and expert and normative systems. IET's
primary office is located in Rosslyn (Arlington), Virginia directly
across the Potomac River from Washington, DC.
REQUIRED QUALIFICATIONS: PhD or equivalent experience in computer
science or a related discipline. Excellent written and verbal
communication skills. Ability to work productively in an unstructured
environment with limited supervision. U.S. citizenship. Fluent in one
or more of Lisp, C++, C, Java. Basic or applied research and
development experience in one or more of the following HPKB core
technologies:
knowledge representation,
ontologies and knowledge sharing,
knowledge acquisition.
DESIRED QUALIFICATIONS: Familiarity with the following HPKB
contributing technologies also will be helpful:
problem solver synthesis,
situation assessment or condition monitoring,
natural language processing,
machine learning,
probabilistic inference,
uniform information retrieval across heterogenous sources,
data base mining or agent-based architectures for WWW.
COMPENSATION: Competitive salary and benefits.
Please forward a resume/CV and your statement of interest to Dr. Robert
Schrag using the contact information below.
Robert C. Schrag, Ph.D.
Information Extraction & Transport, Inc. (703) 841-3501 Fax
1730 North Lynn Street, Suite 502 schrag@iet.com
Rosslyn, VA 22209 USA http://www.iet.com/users/schrag
For more information about DARPA's HPKB program and IET's role in it,
please visit .
- 6 June 1997 Yves Kodratoff (for ESIEA)
Date: Fri, 6 Jun 1997 17:45:29 +0200 (MET DST)
From: Yves.Kodratoff@lri.fr (Yves.Kodratoff@lri.lri.fr)
We are looking for candidates to a position of "professor-researcher" at
ESIEA Group's research center. The position will be held in Laval a nice
French provincial town situated in the center of Brittany.
PhD requested, teaching in the French language compulsory, research on Data
Mining.
Both applied (expertise in data mining applied to problems of local
industries) and pure research, particularly: text mining and/or computer
security (= mining security backlogs).
Research work performed under the leadership of Yves Kodratoff.
Candidates should apply to the center's director: Mme A.M. KEMPF, ESIEA, 9,
rue V sale, 75005 Paris, email: am.kempf@esiea.fr.
- 5 June 1997 Stephen Muggleton (U. York)
Date: Thu, 5 Jun 97 11:58:13 BST
From: Steve Muggleton
Subject: research positions in Machine Learning at the University of York
2 research positions in Machine Learning at the University of York
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A new group in Machine Learning, led by Professor Stephen Muggleton, will be
formed within the Department of Computer Science at the University of York
from October 1997. Two research positions will be available within the new
group.
Visiting research fellowship
~~~~~~~~~~~~~~~~~~~~~~~~~~~
This is a one year post available from 1st October 1997, supported
by the ongoing ESPRIT ILP2 Long Term Research project. The position
is suitable for an experienced researcher already involved in the
field of Inductive Logic Programming, and may be appropriate for
a Machine Learning researcher wanting to take leave of absence for a year from
a university position. Both UK and international applicants would be
welcomed. The visiting researcher would be expected to play a full part
in the ongoing research of the York Machine Learning group, and would
also be encouraged to bring new approaches and insights. Interactions
with other European partners on the ILP2 grant would be expected. A
description of the aims of the ILP2 project can be found at the following
WWW site:
http://www.comlab.ox.ac.uk/oucl/groups/machlearn/ilp2.html .
Research assistant
~~~~~~~~~~~~~~~~~
This is a one year position with an expectation of a three year
extension on a following grant. The position is supported by the
EPSRC project ``Experiments with Distribution-Based Machine Learning''.
Candidates would be expected to have a PhD and to have a background in
mathematical logic and, ideally, machine learning. A description of
the project can be found at the following WWW site:
http://www.comlab.ox.ac.uk/oucl/research/grants/A4.html .
How to apply
~~~~~~~~~~~
Applications should be accompanied by a Curriculum Vitae and
sent to the following address by 15th July 1997.
Prof. S. Muggleton,
Department of Computer Science,
University of York,
Heslington,
York,
YO1 5DD.
Fax: +44 1865 283519
Email: steve@comlab.ox.ac.uk
- 12 May 1997 Greg Howe (Manning & Napier
Information Services)
Manning & Napier Information Services (MNIS) develops and deploys
cutting-edge technology for large-scale text retrieval and information
analysis. Its flagship products, DRLINK and MAPIT, are used by Fortune
500 companies and government agencies. MNIS is based in Rochester, NY
and is affiliated with Manning and Napier Advisors, an investment
advisory and consulting services company with more than 25 years
experience and $6.5 billion in assets under management.
SUMMARY:
We are looking for an innovative person to join our MAPIT team. This
person will contribute to all phases of the project, from research to
system design to algorithm development to final implementation. The
MAPIT project involves indexing over 100GB of natural language text,
analyzing relationships among millions of documents, and providing
real-time access to the results over the Web using natural language
queries and interactive visualization.
See our web pages for more information about MNIS (http://www.mnis.net)
and MAPIT (http://www.mnis.net/mapitdemo).
QUALIFICATIONS:
Ph.D. in Artificial Intelligence (Ph.D. in another science or math area
is acceptable with appropriate experience).
At least 3 years experience in non-academic software development.
Excellent programming skills in C, C++, Perl, HTML/CGI on a Unix/Solaris
platform.
The following skills are highly desired:
natural language understanding
data mining, classification, clustering
data visualization
machine learning
experimental design and analysis
statistical analysis
mathematical modeling
very large scale processing
For consideration send resume to:
Greg Howe
Professional Staffing
Manning & Napier Information Services
1100 Chase Square
Rochester, NY 14604
(716) 325-6880 phone
(716) 325-1036 fax
EMail ghowe@manning-napier.com
- 8 May 1997 Gregory Piatetsky-Shapiro (Geneve
Consulting Group)
Date: Thu, 8 May 1997 10:40:10 -0500 (EST)
From: Gregory Piatetsky-Shapiro
Subject: Looking for experts in decision trees and/or bayesian networks
** Data Mining Consulting and Integration Company is looking for
experts in decision trees and/or bayesian networks **
TASK: Participate in the design, development, and deployment of leading
edge integrated data mining and customer modeling systems, primarily in
the financial area. Perform quick data mining studies using a variety of
different approaches and tools.
The candidates will join a team of world-class experts in data
warehousing, data mining and knowledge discovery.
Ideal candidates will have a Ph.D. in Machine Learning, Statistics,
or related fields and 2-3 years of experience, or an M.S. with an
equivalent experience. The candidates should have expertise with
different modeling approaches, but primarily
with with decision trees/rules or with bayesian belief networks.
The candidates should be familiar with statistical theory and have practical
experience with databases.
Excellent coding skills in C/Java/Unix environment along with
good system maintenance practices and the ability to
quickly pick up new systems and languages are needed.
The candidates should also have good communication skills, be
able to work in a team, and be able to enjoy the exciting atmosphere of
a start-up company.
Most of all, candidates should have the passion for developing and
applying innovative methods for solving practical problems.
We offer very competitive salaries, and our outstanding benefits include
profit sharing, stock options, medical/dental insurance, and a 401(k)
plan.
The data mining branch of the company is conveniently located in the
Cambridge area, easily accessible by public transportation.
Proper work authorization required.
Please email your resume and a cover letter (in plain ASCII, please) to:
Gregory Piatetsky-Shapiro, Ph.D.
Director of Applied Research
Geneve Consulting Group
545 Concord Ave
Cambridge MA 02138
email: gps@genevecon.com
tel: 617-661-1358
fax: 617-491-4936
URL: http://www.kdnuggets.com/gps.html
- 5 May 1997
From: Yike Guo
Subject: Job in Japan
A Fujitsu subsidiary company which is developing OLAP and datamining tools
is now looking for a foreign engineer who is interested in working in Japan.
Carrier opportunity for a programing engineer in Japan
Duties
Designing and programing data mining products which include
a visualizing OLAP client.
Requirements
- BS or MS degree related to computer science
- C programming skill (VC++ on NT background is best)
- Familiarity with datamining, visualization, or OLAP
- Native English speaker
Contact
Fujitsu SWE, Manager Mr. Katoh
E-mail: hiromi@swe.fujitsu.co.jp
- 30 April 1997 Lucila Ohno-Machado (Harvard)
Subject: ML list: POST-DOCTORAL RESEARCH FELLOWSHIPS
Date: Fri, 2 May 1997 15:25:00 -0500
From: Lucila Ohno-Machado
POST-DOCTORAL RESEARCH FELLOWSHIPS
at the Decision Systems Group, Brigham and Women's Hospital
(Harvard-MIT-NEMC medical informatics training program)
The Decision Systems Group (DSG) at Brigham and Women's Hospital has
postdoctoral fellowships positions, beginning immediately, for qualified
applicants. These positions are intended for individuals holding doctoral
degrees in computer science, cognitive science, psychology, biology, or
related fields (Ph.D or equivalent), who want to do research in medical
informatics, particularly in the application of neural networks and other
machine-learning methods in the medical domain. Fellows need to be
permanent residents or American citizens. Academic coursework at Harvard
and MIT is available.
Fellows are expected to work in neural network applications in different
medical and epidemiological domains, and should have a strong programming
background.
Stipend ranges from $29,000 to $32,300 depending on years of post-graduate
experience. Tuition benefits are provided. Applicants should send a
statement of career goals and CV (by email). Transcripts, a personal
interview and three letters of recommendation may be requested for
qualified candidates.
The DSG, directed by Robert A. Greenes, MD, PhD, is a research and
development unit in medical informatics with a professional staff of 35,
carrying on a broad range of projects focused on enterprise information
support, point-of-need access to information resources, clinical
workstations, structured data capture, practice guidelines,
machine-learning methods, and consumer health.
To apply, contact:
Lucila Ohno-Machado, MD, MHA, PhD Decision Systems Group
Voice (617) 732-8543 Brigham and Women's Hospital
FAX (617) 739-3672 75 Francis Street
machado@dsg.harvard.edu Boston, MA 02115
- 30 April 1997 Pablo Tamayo (TMC)
Date: Wed, 30 Apr 1997 16:22:28 -0400
From: Pablo Tamayo
Job Description:
Staff Member in the Technology Group
Researcher/Developer of Data Mining/KDD Technologies
Thinking Machines Corp.
4/30/97
- Provide technical and scientific expertise in core areas for Data
Mining and KDD, such as Machine Learning, Artificial Intelligence,
Statistics and High Performance Computing, to the development
organization and the company in general. Help to evaluate competing, new
or strategic technologies and algorithms for current or future releases
of Data Mining/KDD products (toolsets, KDD engines and vertical
applications).
- Design and develop state-of-the-art Machine Learning/Statistical
module prototypes. Be responsible for the support and maintenance of the
assigned modules. Collaborate with the Software Engineering Group
to integrate these prototypes into products' software architecture
following development-wide software engineering guidelines. Provide
parallelism and performance enhancements for algorithms. Help support
core algorithms in current products.
- Collaborate with the Data Analysis, Professional Services and
Technical Sales groups to study and choose appropriate algorithms and
methods for proof of concept studies or to integrate permanent solutions
for customers.
- Help write patents and provide technical assistance in patent related
issues.
- Represent the company in relevant conferences, workshops, trade shows
or forums and follow Data Mining/KDD literature and trends in the KDD
academic and commercial communities.
If you are interested please contact:
Dr. Pablo Tamayo
tamayo@think.com
Thinking Machines Corp.
14 Crosby Dr.
Bedford, MA 01730
- 25 April 1997 Sandi Brummert (WiseWire Corp.)
Subject: Job Opportunities at WiseWire Corporation
Date: Fri, 25 Apr 1997 17:00:50 -0400
From: Sandi Brummert
Research Scientist Job Opportunities
Research Software Developer Job Opportunities
WiseWire Corporation=20
http://www.wisewire-corp.com
WiseWire Corporation (formerly Empirical Media) has openings for individuals
with a strong background in any the following areas:
=B7 Agent-based systems
=B7 Information Retrieval/Filtering
=B7 Machine Learning and Neural Networks
=B7 Collaborative Systems
Research Scientists will develop innovative advanced technologies with our
team, apply empirical scientific methods, and become involved with their
creations in the end-user environment.=20
Research Programmers will have the opportunity to apply research work to
actual products on the Internet and in other applications. Candidates
should have a strong background in C++ development. =20
Individuals are encouraged to apply even if you are not available to work
for 6 months to a year, as we expect continued growth in our research
department.
WiseWire Corporation has made great advances in meeting the challenges of
building and marketing a highly-scalable agent-based filtering system
through our WiseWire service on the Web. You are welcome to try our service
or find out more about our company at http://www.wisewire.com.
WiseWire Corporation offers an opportunity for talented individuals to do
what they do best in a well-financed and supportive business environment.
We also offer the chance to join a team of bright and dedicated
technologists that are diligently working to revolutionize the way people
use the Internet. Members of our team are compensated for the value they
create on the Net through competitive salaries, benefits and a substantial
stock option plan. WiseWire Corporation is an equal opportunity employer.
To apply for these positions, you can get in touch with us by mail, fax,
phone, or email at: =20
WiseWire Corporation
5001 Centre Avenue
Pittsburgh, PA 15213
phone: 412-688-8870
email: jobs@wisewire.com
fax: 412-688-8853
=20
Sandi Brummert, Career Specialist
WiseWire Corporation
5001 Centre Avenue; Pittsburgh, PA 15213
phone: 412.688.8870 x132
WiseWire: Delivering personalized intelligence.
http://www.wisewire.com
- 16 April 1997 Juergen Schmidhuber (IDSIA)
From: Juergen Schmidhuber
Date: Wed, 16 Apr 1997 09:28:38 +0200
Subject: Job openings
1 POSTDOC POSITION 1 PHD STUDENT POSITION
RECURRENT NEURAL NETS
The Swiss machine learning research institute IDSIA offers 2-year
positions for one postdoc and one PhD student. Both will be funded by
a research grant on recurrent neural networks. Intended application
areas include speech recognition and music composition. The grant's
initial focus will be on "Long Short-Term Memory" (LSTM) - see
reference below. Ideal candidates should fully understand the LSTM
paper, have strong mathematical and programming skills, outstanding
research potential, experience with neural nets, excellent ability to
communicate research results, and be willing to build on previous work.
BEGIN: around October 1997.
SWITZERLAND tends to be nice to scientists. It boasts the highest super-
computing capacity pc (per capita), the most Nobel prizes pc (4-5 times
the US value), the highest GNP pc, and the best chocolate.
IDSIA's research focuses on artificial neural nets, reinforcement
learning in partially observable environments, MDL, complexity and
generalization issues, unsupervised learning and information theory,
forecasting, combinatorial optimization, evolutionary computation, and
metalearning. IDSIA is small but visible, competitive, and influential.
It employs about a dozen active researchers and supervises students at
several European universities. Its 1997 scientific output so far includes
9 journal publications (published or in press).
LOCATION: beautiful Lugano, the capital of Ticino, the scenic
southernmost province of Switzerland (pictures in my home page). Milano,
Italy's center of fashion and finance, is 1 hour away, Venice 3 hours.
CSCS, the Ticino supercomputing center, is nearby - we have a direct
connection.
SALARY: commensurate with experience. Postdoc: SFR 60-70K/year (US$
41-48K). PhD student: SFR 25-30K. Subtract ~20% for taxes & social
security. There is travel funding in case of papers accepted at important
conferences.
INSTRUCTIONS: please send HARDCOPIES (no email!) of CV, list of
publications, cover letter, and your 3 best papers (if applicable) to
Juergen Schmidhuber, IDSIA, Corso Elvezia 36, 6900-Lugano, Switzerland.
Also send a brief email message listing email addresses of three
references to juergen@idsia.ch. Please use your full name as subject
header. EXAMPLE: subject: John_Smith
DEADLINE: MAY 31 1997. Earlier applications preferred.
RECURRENT NET REFS (more in http://www.idsia.ch/~juergen/onlinepub.html)
-S.Hochreiter & JS: Long Short-Term Memory. Neural Comp. (accepted 1997)
See ftp://ftp.idsia.ch/pub/juergen/lstm.ps.gz
-JS: A fixed size storage O(n^3) time complexity learning algorithm for
fully recurrent continually running nets. Neural Comp.4(2):243-248,1992.
-JS: Learning complex, extended sequences using the principle of history
compression. Neural Comp.4(2):234-242,1992.
-JS: Learning to control fast-weight memories: An alternative to
recurrent nets. Neural Comp.4(1):131-139,1992.
Juergen Schmidhuber, research director, IDSIA
juergen@idsia.ch http://www.idsia.ch/~juergen
- 16 April 1997 Fred Damerau (IBM, TJ Watson Lab)
From: "Fred J. Damerau (862-2214)"
Date: Wed, 16 Apr 97 13:38:03 EDT
Subject: Job posting
Research Associate Position in Text Mining/Information Extraction
The Natural Language Understanding Group at the IBM T. J. Watson
Research Laboratory (Yorktown Heights, NY 10566) is looking for
a Research Associate with the qualifications listed below. The
position will most likely be initially for one year, but it is
renewable. The successful candidate will work on our text mining/
information extraction project, with a particular emphasis on
applying machine learning techniques to various issues in document
management. The project combines state-of-the-art research on machine
learning in text mining with practical production-level systems building.
Qualifications:
The ideal candidate would have the following knowledge and experience.
Education: MA/MS in computer science or other field with extensive
background in computer science.
Programming languages:
Extensive knowledge and experience in C/C++ required; Java a plus.
Specialized Background:
Experience in implementing machine learning algorithms and/or
natural language processing algorithms.
Operating systems:
Required: Familiarity with Windows95/NT and Unix/AIX,
Helpful: Familiarity with OS/2
System programming/API experience on these operating systems not required.
General Software Development:
Familiarity with issues of large scale software development, e.g.,
API design and use, creation and integration of DLLs/Libraries,
source code control systems etc.
Candidates should send resumes and supporting letters to:
Thomas Hampp
eMail: hampp@watson.ibm.com
phone: 914-945-1714
End of message
Thomas Hampp
eMail: hampp@watson.ibm.com
phone: 914-945-1714
- 5 April 1997 Robert Straughan (NSRC,
Singapore)
From: Robert Straughan
Subject: Senior Consultant in Data Mining at NSRC in Singapore
Date: Sat, 5 Apr 1997 09:06:47 +0800 (SGT)
Staff Title: Group Leader - Senior Consultant, Commercial Applications
Date Required: 1 June 1997
Job Description: National Supercomputing Research Centre (NSRC) is
Singapore's national centre for High Performance Computing (HPC). NSRC
currently facilitates services and solutions to the Singapore industry
in the field of Computer Aided Engineering, Chemical Applications and
Electronics. Commercial Applications has been identified as a new
growth area, where HPC can make a significant impact on the commercial
industries' competitiveness. NSRC has therefore decided to expand into
this field and is currently looking for a person with extensive
industrial experience in the field of Data Mining within finance,
banking, insurance, or retail marketing. The Group Leader shall take
overall responsibility in promoting NSRC's capabilities within the
field of Data Mining to the commercial industry in Singapore and to
solicit for business. The Group Leader shall work closely with NSRC's
existing staff within this field to develop the best possible strategy
to target potential commercial organisations.
Skills Required: Minimum Masters Degree. Specialisation within the
field of Computer Science and Business Administration. At least 5
years experience from a financial institution or in retail marketing
within the field of Data Mining / Data Analysis. Extensive managerial
experience, in particular project management, business analysis and
negotiation skills. Strong knowledge of statistical analysis and
selection / building of appropriate modelling techniques to solve
business problems. A good understanding of the algorithms used in Data
Mining (neural networks, classifications etc.). Have previously used
IBM SP2 and tools such as Intelligent Miner and Darwin as well as
statistical packages such as SAS and SPSS.
Relocation assistance, allowances for housing, children's education and
transportation apply. Salary will be commensurate with qualifications
and experience.
You can obtain more details by contacting admin@nrsc.nus.sg or visit
our web site at http://www.nsrc.nus.sg.
Resumes can be sent to:
Administration Manager
NSRC
89 Science Park Drive
The Rutherford #01-05/08
Singapore 118261
- 17 March 1997 Yolanda Gil (ISI, USC)
AI OPPORTUNITIES AT USC/ISI
The Information Sciences Institute of the University of
Southern California invites applications for several
full-time positions in areas such as:
* Knowledge-Based Systems
* Knowledge Acquisition
* Intelligent Information Integration
* Ontology Development
* Intelligent Software Engineering Environments
* Intelligent Agents in Virtual Environments
* Intelligent Tutoring Systems
* Machine Translation
* Natural Language
Ideal candidates will have demonstrated the ability to
perform innovative research and/or construct large-scale,
leading-edge systems. Candidates must be able to work well
in a cooperative research environment and express their
ideas clearly in presentations and in writing. Positions
are available at both Masters and PhD levels, and for
exceptional undergraduates.
USC/ISI, located in Marina del Rey, California, is a leading
research laboratory in artificial intelligence and other
areas of computer science. ISI is a research facility
within the USC School of Engineering and maintains close
academic ties with the Department of Computer Science. The
Intelligent Systems Division is a collaborative group of
about 40 researchers working in an exciting environment that
encourages publication and guarantees a wide dissemination
of research results. Additional information can be found at
http://www.isi.edu and
http://www.isi.edu/isd/ai-at-isi.html.
Qualified applicants should reference `AI-497-Y' and send
resumes and references by e-mail to resumes@isi.edu, by FAX
to 310/823-6714. or via US Mail to:
Lisa Moses
USC/Information Sciences Institute 4676
Admiralty Way
Marina del Rey, CA 90292
- 12 March 1997 Brad Perry (Hughes Research
Laboratories)
Subject: HRL Job Opening: Research Intern/Parttime (KDD, DAI, Java)
We are currently looking to fill an intern, or part-time, PhD
candidate at Hughes Research Laboratories (HRL). The position will be
a summer intern capable of extending into a part-time position during
the school year. HRL is located in Malibu, CA and represents the
central research lab for Hughes Electronics Corporation.
Our group is investigating the use of agent, data mining, and database
technologies to support information management, discovery, and
analysis in large-scale dynamic Internet environments. Our two
primary research areas involve:
* Information exploitation techniques to effectively identify and
disseminate semantically relevant information to large user
populations, especially with the use of satellite broadcast channels.
* Data mining techniques to extract, represent, and manipulate
semantic cues from large-scale and distributed information sources.
The candidate should have a background in DAI, agent architectures,
machine learning, and data mining. Experience with KQML, KIF, and/or
Java a definite plus. This position entails research and prototype
development.
Required:
* PhD candidate in Computer Science (or related field)
* Good OO programming skills (implementation of prototypes will
be required).
* Unix programming background.
* Good oral and written communication skills.
Desirable:
* Machine Learning or Data Mining background
* Java programming experience (or C/C++, at least).
* Ontologies.
* Multidatabase systems.
* Distributed object systems (CORBA, RMI, etc.)
Please email your resume to Son Dao at son@isl.hrl.hac.com, or mail to:
Son Dao
Hughes Research Laboratories
3011 Malibu Canyon Road
Malibu, CA 90265
HRL is an equal opportunity employer.
------
Brad Perry
Hughes Research Laboratories perry@isl.hrl.hac.com (310) 317-5683
UCLA bjperry@cs.ucla.edu (310) 206-4561
- 4 March 1997 George John (IBM Almaden)
IBM DATA MINING ANALYST POSITIONS (please post/redistribute)
Help! We're drowning in work! IBM needs 10 more analysts for its
highly successful data mining group. Join our team of high-caliber
PhD's in an exciting multi-faceted career in data mining:
* Analyze data for customers using IBM's industry-leading data mining
products
* Interact directly with senior management at Fortune 500 companies
* Teach data mining classes to our customers and develop course materials
* Travel, see the world! (One member of our team just got back
from Paris, another is heading to Australia for two weeks... these
are not vacations, it's their job!)
* Interact with researchers and product developers, discuss ideas for
new data mining algorithms, new visualizations, and new features
for our products
* Assist sales reps in customer visits, be the "technical person" to
answer hard questions
* Work with the marketing group to help develop brochures, etc.
* Attend trade shows and conferences, learn more about the industry
and talk to customers
* Use SQL/AWK/PERL/SAS to process data (ooh, the excitement!)
The ideal candidate
* has an excellent understanding of the data analysis process and has
participated in several projects
* is strongly technically proficient in at least some areas of data
mining (background in statistics, machine learning, neural nets, or
pattern recognition, or related), with a desire to learn more
* has excellent communication and presentation skills
* is a self-starter, good at quickly becoming a productive member of
a team
* is a fast learner, can quickly become an expert in a new industry
and work with IBM consultants to productively apply data mining
* has some unix skills, knows enough AWK and PERL to be self-sufficient
in processing data
* has a good sense of humor, fun to work with, enjoys taking co-workers
out to dinner, insists on paying every time, etc...
Positions are available for both senior applicants (professors, PhD's,
MBA's, or 4+ years relevant business experience) and more junior
members (MS, BS, less job experience). Salaries are competitive, and
based on experience. The jobs are focused on business, but some amount
of time spent on research may be negotiated. IBM's data mining group
is growing quickly, and offers excellent career opportunities.
For more information on data mining at IBM, see the webpage for IBM
Global Business Intelligence Solutions (our parent organization) at
http://www.ibm.com/bi
Send resume to George H. John, gjohn@almaden.ibm.com.
ASCII (plain text) via email is *strongly* preferred.
Please put "DMJOBS-97:" then your name in the subject.
Hardcopy may be sent to
George H. John
IBM Alamden Research Center
650 Harry Rd / D2
San Jose, CA 95120-6099
FAX: 408-927-2100 (put "Attn: George John" on cover sheet)
IBM is an equal opportunity employer.
- 28 February 1997 Peter Norvig (Junglee)
Junglee is looking for full-time employees and summer interns to work
on information discovery and data mining from text documents. We're
looking for creative hard-working people with experience in some of
the following: databases, information extraction, parsing, regular
expressions, language design, statistics, machine learning, and GUI
design.
Junglee develops Internet and Intranet information technology for the
future and pushes it to market today. Technology that raises eyebrows
and drops barriers. Founded in 1996 by four PhD students from the
Stanford University Computer Science Department and a Silicon Valley
veteran, Junglee Corporation has excellent funding, high-profile
customers, and a strong revenue plan.
Our Virtual DataBase (VDB) engine is fueled by our ability for data
source description, extraction, and attribute mapping. Imagine
capturing data from hunders of disparate unstructured web sites,
mixing that with data from other heterogeneous, distributed database
and non-database sources and turning it all into a relational
aggregate with the power of full SQL queries and the ease and
portability of HTML user interfaces. We call these applications PALs
- powerful information sites where people can ask for and get an
answer. Several of our PALs are up on the web today at www.junglee.com
and www.washingtonpost.com; we are currently building more of them for
some well-known companies.
One of the key aspects of the technology is discovering/mining
information from text. The project is lead by Peter Norvig who has
done extensive work on Natural Language Processing, Machine Learning,
and other Artificial Intelligence problems. While this project
involves significant ground-breaking research, it is definitely a
development project, not just research.
Please send responses to jobs@junglee.com or by fax to 408-522-9470
and mention this posting.
__
Peter Norvig norvig@junglee.com
Junglee Corporation phone: 408-522-9482
1250 Oakmead Parkway fax: 408-522-9470
Suite 310 http://www.junglee.com
Sunnyvale CA 94086 http://www.norvig.com
- 27 February 1997 Christophe Giraud-Carrier
(U. Bristol)
***** MACHINE LEARNING AT THE UNIVERSITY OF BRISTOL *****
We bring your attention to the following advertisement of 4 new Lecturerships
(equivalent to Assistant Professorships) at the University of Bristol.
We would particularly like to hear from candidates with research
interests in Machine Learning and related AI fields. More information
on our Machine Learning Research Group may be found at:
http://www.cs.bris.ac.uk/Research/MachineLearning/
http://www.cs.bris.ac.uk/~cgc/
Also, feel free to contact Christophe Giraud-Carrier
(cgc@cs.bris.ac.uk) for details on current research activities at
Bristol.
DEPARTMENT OF COMPUTER SCIENCE
UNIVERSITY OF BRISTOL
LECTURESHIPS IN COMPUTER SCIENCE
The Department is continuing its rapid growth and intends to appoint
four new lecturers. New research themes are being developed, linked
with innovative teaching at undergraduate and postgraduate levels.
The department has a lively research culture and was rated grade 5A in
the 1996 Research Assessment Exercise. Its major research activities
are currently in computer architecture, multimedia (including vision,
image processing and graphics), declarative programming and machine
learning.
The department has strong links with the computer, communications,
microelectronics and media industries. It is a partner in PACT, a
research centre in computer architecture and software, and hosts the
Safety Systems Research Centre. A major new initiative on multimedia
computing and content creation, supported within the Technology
Foresight Programme, will start in April 1997.
Informal enquiries can be obtained from Professor David May by email
(dave@cs.bris.ac.uk) or telephone +44 (0)117 954 5134. For further
details and an application form telephone +44 (0)117 925 6450. minicom
+44 (0)117 928 8894 or e-mail Recruitment@bris.ac.uk (stating postal
address ONLY) quoting reference F224.
The closing date for applications is 20th March 1997.
Christophe Giraud-Carrier
Department of Computer Science
University of Bristol
The Merchant Venturers Building
Woodland Road
Bristol, BS8 1UB
England
- 23 February 1997 Wei Zhang (Boeing)
From: Wei Zhang
Date: Mon, 17 Feb 1997 16:50:20 -0800
Subject: Job: machine learning at Boeing
**Outstanding Machine Learning Researcher needed**
The Boeing Company, the world's largest aerospace company, is actively
working research projects in advanced computing technologies including
projects involving NASA, FAA, Air Traffic Control, and Global
Positioning as well as airplane and manufacturing research.
The Research and Technology organization located in Bellevue,
Washington, near Seattle, has an open position for a machine learning
researcher. We are the primary computing research organization for
Boeing and have contributed heavily to both short term technology
advances and to long range planning and development.
BACKGROUND REQUIRED: Machine Learning, Knowledge Discovery, Data
Mining, Statistics, Artificial Intelligence or related field.
RESEARCH AREAS: We are developing and applying techniques for data
mining and statistical analyses of diverse types of data, including:
safety incidents, flight data recorders, reliability, maintenance,
manufacturing, and quality assurance data. These are not areas where
most large R&D data mining efforts are currently focused. Research
areas include data models, data mining algorithms, statistics, and
visualization. Issues related to our projects also include pattern
recognition, multidimensional time series, and temporal databases. We
can achieve major practical impacts in the short-term both at Boeing
and in the airline industry, which may result in a safer and more
cost-effective air travel industry.
A Ph.D. in Computer Science or equivalent experience is highly
desirable for the position. We strongly encourage diversity in
backgrounds including both academic and industrial
experiences. Knowledge of machine learning, statistics, and data
mining are important factors. Experience with databases and
programming (C/C++, JAVA, and Splus) is desirable.
APPLICATION: If you meet the requirements and you are interested,
please send your resume via electronic e-mail in plain ASCII format to
zhangw@redwood.rt.cs.boeing.com (Wei Zhang). You can also send it via
US mail to
Wei Zhang
The Boeing Company
PO Box 3707, MS 7L-66
Seattle, WA 98124-2207
Application deadline is April 30, 1997.
The Boeing Company is an equal opportunity employer.
- 21 February 1997 Brij Masand (GTE Labs)
**** An Outstanding Applied Researcher/Developer needed for the **********
**** Knowledge Discovery in Databases project at GTE Laboratories **********
Description: Participate in the design and development of
state-of-the-art systems for data mining and knowledge discovery. The
focus of the job is on applied research in KDD, including development
of prototypes to demonstrate innovative business applications of KDD.
The candidate will join one of the leading R&D teams in the
area of data mining and knowledge discovery. Our current projects
include predictive customer modeling for GTE's cellular telephone
markets. We are applying multiple learning and discovery methods to
very large, high-dimensional real-world databases, involving millions
of records and Gbytes of data and have created KDD-based solutions
that are being deployed in the field.
The ideal candidate will have a Ph.D. in Machine Learning or
related fields and 2-3 years of experience, or an M.S. with equivalent
experience. The candidate should have experience with machine
learning algorithms, be familiar with statistical theory, have
practical experience with databases, and be proficient with
Web/Internet tools. Excellent coding skills in C/Unix environment and
an ability to quickly pick up new systems and languages are needed. Good
communication skills, the ability to work in a team, and good coding
and system maintenance practices are very desirable.
GTE Laboratories incorporated, located in Waltham, Ma is the central
research facility for GTE. GTE is among the the largest local
exchange telephone carriers and the second largest mobile service
provider in the United States. Our research facility is located on a
quiet 50 acre campus-like setting in Waltham, MA, 20 minutes from
downtown Boston. Our salaries are competitive, and our outstanding
benefits include medical/life/dental insurance, saving
and investment plans, and an on-site fitness center.
Please send a resume and a cover letter
(preferably by e-mail, in ASCII) to:
kddjob@gte.com
or by fax to 617.466.3342 (Attn: Brij Masand)
I will be travelling till Mar 12th and will reply to email responses
after that. thanks! -- Brij Masand (brij@gte.com)
- 18 February 1997 Wray Buntine (for Nasa/Ames)
NASA's Center of Excellence in Information Technology at
Ames Research Center invites candidates to apply for a position as
Research Scientist in Information Technology:
Position description:
* We seek applicants to join a small team of space scientists and
computer scientists in developing NASA's next generation smart spacecraft
with on-board, autonomous data analysis systems. The group includes
leading space scientists (Ted Roush, Virginia Gulick) and leading data
analysts (Wray Buntine, Peter Cheeseman), and their counterparts at JPL.
* The team is doing the research and development required for
the task, and has a multi-year program with deliverables
planned. This is not a pure research position, and requires
dedication in seeing completion of the R&D milestones.
* The applicant will be responsible for the information technology side
of R&D, with guidance from senior space scientists on the project.
* The research has strong links with on-going work at the Center of
Excellence and is an integral part of NASA's long term goals.
Candidate requirements:
* Strong interest in demonstrating autonomous analysis systems to
enhance science understanding in operational tests, with the ultimate
goal of putting such systems in space.
* Ph.D. degree in Computer Science, Electrical Engineering, or related
field, and applied experience, possibly within the PhD. In
exceptional cases, an M.S. degree with relevant work experience will
suffice.
* Knowledge of neural or probabilistic networks, machine learning,
statistical pattern recognition, image processing, science data,
processing, probabilistic algorithms, or related topics is essential.
* Strong communication and organizational skills with the ability to lead
a small team and interact with scientists.
* Strong C programming and Unix skills (experimental, not
necessarily production), with experience in programming mathematical
algorithms: C++, Java, MatLab, IDL.
Application deadline:
* March 15th, 1997 (hardcopy required -- see below).
Please send any questions by e-mail to the addresses below, and type
"PI for Autonomous data analysis" as your header line.
Dr. Ted Roush: roush@cloud9.arc.nasa.gov
Dr. Wray Buntine: buntine@cloud9.arc.nasa.gov
Full applications (which must include a resume and the names and addresses
of at least two people familiar with your work) should be sent by surface
mail (no e-mail, ftp or html applications will be accepted) to:
Dr. Steve Lesh
Attn: PI for Autonomous data analysis
Mail Stop 269-1
NASA Ames Research Center
Moffett Field, CA, 94035-1000
- 20 February 1997 Sandi Brummert (Empirical
Media)
Research Programmer Job Opportunity
Empirical Media Corporation
Pittsburgh, PA
http://www.empirical.com
Empirical Media is looking for Research Programmers who are interested in
building a real product that is changing the future of the Internet.
Our WiseWire web service is the application of intelligent agent technology
to information access and delivery. WiseWire's advanced algorithms in
machine learning and its use of individualized and collaborative filtering
combine to deliver Internet content that is highly personalized, relevant,
timely, and valuable to the user.
As a Research Programmer working on WiseWire, you will have the opportunity
to see the practical application of your research work. We are seeking
students or professionals with a background in statistics, information
retrieval, collaborative filtering, agents, or machine learning. Candidates
must have an advanced degree in a computer related field and extensive C++
programming experience
Empirical Media offers you the opportunity to work in a well-financed and
supportive business environment in close proximity to prominent universities
on the cutting edge of technology (we are just down the block from both
Carnegie Mellon University and the University of Pittsburgh). We also offer
the chance for you to join a team of bright and dedicated technologists who
are diligently working to revolutionize the way people view the Internet.
And, our substantial stock option program allows you to directly participate
in the value that you would be helping to create.
For confidential consideration for this position, please send, email, or fax
your resume or letter of interest to:
Empirical Media Corporation
5001 Centre Avenue
Pittsburgh, PA 15213
email: jobs@empirical.com
fax: 412-688-8853
- 17 February 1997 Wei Zhang (Boeing)
**Outstanding Machine Learning Researcher needed**
The Boeing Company, the world's largest aerospace company, is actively
working research projects in advanced computing technologies including
projects involving NASA, FAA, Air Traffic Control, and Global
Positioning as well as airplane and manufacturing research.
The Research and Technology organization located in Bellevue,
Washington, near Seattle, has an open position for a machine learning
researcher. We are the primary computing research organization for
Boeing and have contributed heavily to both short term technology
advances and to long range planning and development.
BACKGROUND REQUIRED: Machine Learning, Knowledge Discovery, Data
Mining, Statistics, Artificial Intelligence or related field.
RESEARCH AREAS: We are developing and applying techniques for data
mining and statistical analyses of diverse types of data, including:
safety incidents, flight data recorders, reliability, maintenance,
manufacturing, and quality assurance data. These are not areas where
most large R&D data mining efforts are currently focused. Research
areas include data models, data mining algorithms, statistics, and
visualization. Issues related to our projects also include pattern
recognition, multidimensional time series, and temporal databases. We
can achieve major practical impacts in the short-term both at Boeing
and in the airline industry, which may result in a safer and more
cost-effective air travel industry.
A Ph.D. in Computer Science or equivalent experience is highly
desirable for the position. We strongly encourage diversity in
backgrounds including both academic and industrial
experiences. Knowledge of machine learning, statistics, and data
mining are important factors. Experience with databases and
programming (C/C++, JAVA, and Splus) is desirable.
APPLICATION: If you meet the requirements and you are interested,
please send your resume via electronic e-mail in plain ASCII format to
zhangw@redwood.rt.cs.boeing.com (Wei Zhang). You can also send it via
US mail to
Wei Zhang
The Boeing Company
PO Box 3707, MS 7L-66
Seattle, WA 98124-2207
Application deadline is April 30, 1997.
The Boeing Company is an equal opportunity employer.
- 13 February 1997 Colin Shearer (Integral
Solutions Limited)
VACANCIES - DATA MINING TOOL DEVELOPMENT & CONSULTING : UK & US
===============================================================
Integral Solutions Limited (ISL) is a leading supplier of advanced decision
support technology, specialising in data mining.
Our award-winning Clementine tool combines multiple modelling techniques
(neural networks, rule induction, regression) with data visualisation and
manipulation to extract high-value decision making knowledge from large bodies
of historical data. A rich visual programming interface makes Clementine
accessible to non-technologist "data owners" - business, rather than IT,
experts - and provides high productivity for "power" users. Clementine has
established a leading position in the data mining market, and is in use in a
wide range of industry sectors including finance, retail, telecoms,
pharmaceuticals, utilities, broadcasting, defence. Applications are diverse
and include demand prediction, customer profiling, risk assessment, turnover
forecasting, process optimisation, fault pre-emption and fraud detection.
We have an urgent need to recruit top-quality technical personnel. Current
vacancies are:
Data Mining Tool Developers
---------------------------
Basingstoke, UK.
To work on the ongoing development of Clementine.
Candidates should have an interest in, and ideally experience of implementing,
advanced modelling and data analysis techniques; experience of commercial data
mining tool development is desirable but not essential. Experience of some or
all of the following would also be useful:
Unix GUI Development
VMS Pop11
X Windows / Motif C
Windows 95 / NT SQL
Databases/ODBC Statistics
Applicants should have a 2.1 or better at first degree; a relevant second
degree may be an advantage. Technical excellence is expected, but must be
combined with first rate communications and interpersonal skills and a desire
for close contact with customers. Recent graduates and those with commercial
experience will both be considered.
Data Mining Consultants
-----------------------
Basingstoke, UK; King of Prussia, PA, USA.
To apply Clementine to customers' business problems. The role will include
pre-sales consulting, training, and developing solutions.
Candidates should be degree-qualified (2.1 or better) and, ideally, should
have experience of data analysis and modelling in a business environment.
Excellent communication and interpersonal skills are vital, and candidates
should display initiative, creativity, enthusiasm (and the ability to convey
it to clients) and self-management skills.
As ISL's clients span many markets, our consultants need the ability to
assimilate knowledge of any client's business, understand their problems, and
fit a data mining solution to these. However, we also encourage applications
from those with a specific business/sector specialisation (for example finance
(banking, insurance), retail or manufacturing).
We are willing to consider applications both from experienced consultants and
from any other candidates who believe they have the aptitude to be developed
into first-class consultants.
This is an opportunity to join a small (30 people) but dynamic and rapidly
developing company in an exciting business/technology area. ISL provides a
stimulating and technically challenging environment with considerable scope
for professional development.
ISL is an equal opportunities employer. We encourage applications from new
graduates through to experienced professionals. Salaries/benefits are
competitive, and commensurate with relevant experience.
Please apply with CV to:
For UK: For US:
Linda Montgomery, Kevin Peyton
Integral Solutions Limited, ISL Decsion Systems Inc.
Berk House, 630 Freedom Business Center
Basing View, King of Prussia
Basingstoke, PA 19406
RG21 4RG USA
UK
Fax : +44 1256 63467 Fax : (610) 768 7774
Email: lindam@isl.co.uk Email: KPeyton220@aol.com
Tell us why you are the ideal candidate for a position at ISL.
- 12 February 1997 Yuling Wu (NYNEX)
Software Inc.)
Research Programmer Job Opportunity
Empirical Media Corporation
Pittsburgh, PA
http://www.empirical.com
Empirical Media is looking for Research Programmers who are interested in
building a real product that is changing the future of the Internet.
Our WiseWire web service is the application of intelligent agent technology
to information access and delivery. WiseWire's advanced algorithms in
machine learning and its use of individualized and collaborative filtering
combine to deliver Internet content that is highly personalized, relevant,
timely, and valuable to the user.
As a Research Programmer working on WiseWire, you will have the opportunity
to see the practical application of your research work. We are seeking
students or professionals with a background in statistics, information
retrieval, collaborative filtering, agents, or machine learning. Candidates
must have an advanced degree in a computer related field and extensive C++
programming experience
Empirical Media offers you the opportunity to work in a well-financed and
supportive business environment in close proximity to prominent universities
on the cutting edge of technology (we are just down the block from both
Carnegie Mellon University and the University of Pittsburgh). We also offer
the chance for you to join a team of bright and dedicated technologists who
are diligently working to revolutionize the way people view the Internet.
And, our substantial stock option program allows you to directly participate
in the value that you would be helping to create.
For confidential consideration for this position, please send, email, or fax
your resume or letter of interest to:
Empirical Media Corporation
5001 Centre Avenue
Pittsburgh, PA 15213
email: jobs@empirical.com
fax: 412-688-8853
- 12 February 1997 Todd Gutschow (HNC
Software Inc.)
The Technology Development Group at HNC Software Incorporated has an
opening for a Manager of Data Mining Technology Research. The Technology
Development Group is responsible for the core data analysis, data
mining, and
data modeling technology used in all HNC vertical solution products. The
position
will report to the Vice President of Technology Development and will be
located at HNC's headquarters facility in San Diego, CA.
Duties/Job Description:
Conduct research in to new data mining algorithms in support of
the Database Mining=D2 Marksman and other HNC products. Identify and
coordinate data mining technology projects across all HNC operating
groups.
Monitor the data mining research literature to identify promising new
techniques.
Support product development and marketing activities via customer
presentations, conference talks, and white papers.
Required Qualifications (Experience/Skills):
MS or Ph.D. in computer science, engineering, mathematics or other
hard science (e.g., physics, chemistry, etc.). Five or more years
experience in implementing and evaluating new statistical data analysis, neural
networks, and/or data mining algorithms. Good software development
skills. Experience with modern software development processes and
tools (e.g., C++, Object oriented design, etc.). Strong communication and
presentation skills.
Preferred Qualifications (Experience/Skills)
Strong algorithm diagnosis and troubleshooting skills. Experience with
database marketing and its associated data analysis problems. Project
management experience.
If you know someone with the above qualifications who is interested in
employment opportunities with HNC, please ask them to fax, mail or
e-mail resumes immediately to:
Human Resources Department
HNC Software Inc.
5930 Cornerstone Court West
San Diego, CA 92121
FAX: (619) 452-6524
E-mail: jobs@hnc.com
Reference Job No. 293
- 4 February 1997 Yuling Wu (NYNEX)
The Integrated Network Services Testing & Analysis (INSTA) group at
NYNEX Science & Technology in White Plains, New York has three openings
for knowledge-based (KB) diagnostic system developers. The group is
involved in building monitoring, testing and diagnostic systems using
state of the art AI technologies for advanced Telecom networks and
circuits. The group has been building systems that support complete
testing and diagnosis of circuits, both from the central office and in
the field. Systems already built and deployed test and diagnose
residential telephone lines and some of the business services. In
addition to these, the group is currently looking at ISDN and broadband
services.
The selected candidate would work on one or more of the following
projects:
- Building KB system for assisting field technicians out in the field in
testing and troubleshooting faults in telecomm circuits. The candidate
will also explore complementing this KB with the KB performing
centralized testing from the Central Office.
- Building KB system for automated centralized testing and diagnosis of
Special
(Buisness) service circuits.
- Building monitoring, testing, and diagnostic systems for broadband
circuits.
- Building an intelligent interactive assistant to aid testers in
testing and diagnosing circuits.
Suitable candidates must have the following:
============================================
- Background in Computer Science or Computer Engineering or Electrical
Engineering.
- Experience in all aspects of building knowledge-based systems
including knowledge acquisition, knowledge engineering, domain and
task modeling, testing, validation, and evaluation of the
knowledge-based systems.
- Good understanding of various AI techniques such as model-based
reasoning, case-based reasoning, neural nets, and machine learning.
- Good analytical skills.
- Quick learner - to quickly acquire relevant domain knowledge.
Experience with the following would be a plus:
==============================================
- Knowledge of data-analysis tools (eg: statistical tools)
- Unix, C, C++, LISP, ARTIM, CLIPS...
- Distributed Client server Architectures
- databases, database wharehousing
- Telecomm experience: Operation Support Systems, Residential Lines,
Special services, broadband services, telecomm network and circuit
testing, alarm monitoring etc.
If interested, please mail a hard copy of your resume to:
Yuling Wu
400 Westchester Av.
White Plains, NY 10604
or email the postscript version to:
yuling@nynexst.com
- 24 January 1997 Craig MacDonald (ATR, Japan)
From: Craig Macdonald
Subject: Kyoto C++/Mathematican Job Opportunity
Date: Fri, 24 Jan 1997 09:54:41 +0900
This is a job at ATR in Kyoto, Japan that starts this Spring
(preferably in May), or as soon thereafter as possible, and lasts for
a year to a year and a half.
The slot is for someone with heavy C++ experience and skills, who is
also a seasoned applied mathematician with expertise in prediction,
and who has spent time in industry, on large-scale, real-world
prediction problems.
For the past two years, this job has been occupied by Stephen Eubank,
of SFI, The Prediction Company, and Los Alamos. He is now ready to
move on, but has enjoyed his work and his life here, and anyone
considering this job may wish to contact him at eubank@itl.atr.co.jp
for his views and experiences here. (You might also contact Tom Ray,
ray@hip.atr.co.jp, who has been at ATR for the past three years, to
ask about life at this lab, and in Japan, more generally.)
Previous to that, the job belonged to Turing International Programming
Prize-winner David Magerman, formerly of IBM Watson Research Center,
then BBN, and now an equity-"quant"-fund technical manager with
Renaissance, Inc. We also have an ongoing consultancy relationship
with John Lafferty, a research professor at CMU, and prior to that at
IBM Watson Research, and before that, of the Harvard math faculty. The
person who takes on the job we're talking about would be interacting
with John, as well as with other interesting people in the field of
prediction.
Basically this job has two aspects: (1) maintaining and
troubleshooting a large C++ system we have created, which
probabilistically assigns grammatical structure to English sentences
(i.e. "diagrams" or "parses" sentences); our current models use
CART-type probabilistic decision trees; and (2) experimenting with
variations on our current models, so as to improve performance. The
purpose of the parsing program is to help in tasks such as
speech-to-speech Japanese-to-English translation (we are working on a
Japanese version of the software as well); speech and handwriting
recognition; and information retrieval. Projects of all these sorts
exist in the ATR laboratories, and one of the satisfactions of this
job will probably be seeing this software "plugged into" such
applications over the next year or so.
Salary and conditions are all quite competitive. Serious candidates
should be driven both by the technical challenge and by a sense of
adventure, since life in Japan is very different from Western life in
any country, and one needs a genuine curiosity plus a sense of humor
to enjoy it. Also, please apply only if you're a very hard worker; we
have a lot to get done in the next year and a half or so.
Here is the ad we've been circulating for this position. Please
contact black@itl.atr.co.jp if this job interest you. Thanks very
much.
Ezra Black
Manager
Statistical Parsing Group
Natural Language Processing Department
Interpreting Telecommunications Laboratories
Advanced Telecommunications Research Laboratories (ATR)
Kyoto, Japan
Mathematician (Probability) / Programmer Job Opportunity
Statistical Natural Language Processing
ATR Interpreting Telecommunications Research Laboratories
Kyoto, Japan
ATR in Kyoto, Japan is looking for a talented and experienced
mathematician (good probability background) / computer scientist who
is interested in coming to Japan and joining an exciting research
project in statistical natural language processing. The overall goal
of the project is speech-to-speech Japanese to English and English to
Japanese translation. The research group which the candidate would
become part of has developed and is refining a natural language
parsing system based on statistical machine learning algorithms.
A qualified candidate must have the Ph.D. degree, preferably math,
physics, computer science; with extensive programming experience and
expertise in C++. Ability to innovate approaches to applied
mathematical problems in the area of probability required. Experience
with statistical modelling within general pattern recognition field
also important. Familiarity with natural language field a plus but not
absoutely necessary. Candidate should know UNIX well and in general be
a highly expert programmer. This is not a job for those who are
theoreticians only, but rather is for someone who is equally at home
with issues of statistical modelling theory, experimental method, and
detailed coding matters. Motif experience would be nice, though again
not required. The position involves supervision of several researchers
and programmers as well.
Salary and conditions highly competitive.
Please contact: black@itl.atr.co.jp. Thank you.
- 21 January 1997 Mike Halasz (NRC, Ottawa)
Applied AI Researcher Position
Institute for Information Technology
National Research Council Canada (http://www.nrc.ca)
Ottawa, Ontario
=> This is a two-year term position from the date of reporting.
Introduction
The Integrated Reasoning Group (http://ai.iit.nrc.ca/IR_public) has an
opening for an applied AI researcher with expertise in CBR and an
interest in hybrid systems. The current focus of the group is on the
spectrum of reasoning tools surrounding the diagnosis and repair of
complex equipment in a modern corporate setting.
Education
A Ph.D. in engineering or computer science with a strong expertise in the
application of Artificial Intelligence (AI). Acceptable combination of
formal education with extensive research accomplishments in fields related to
applied AI may also be considered.
Experience
Extensive research experience in the field of knowledge representation and
reasoning methods. Experience using case-based reasoning, model-based
reasoning, fuzzy logic.
Language Requirements: English
ASSESSMENT CRITERIA
Candidates will be assessed on the basis of the following criteria:
Knowledge
Knowledge of knowledge representation and reasoning methods; knowledge of
diagnosis and repair management of complex equipment and, knowledge of
reasoning techniques such as case-based reasoning, model-based reasoning,
fault trees, fuzzy logic.
Abilities
Ability to carry out research of outstanding quality; ability to identify
and contribute to significant problems and research areas involving AI
methods; ability to produce and present effective oral and written
scientific reports, publications, and presentations; ability and willingness
to assume responsibilities involved in the conduct of collaborative
scientific research and, ability to plan and implement research ideas.
Personal Suitability
Effective interpersonnel skills; sound judgement; team player;
self-motivation and initiative.
Salary Range: Commensurate with qualifications.
Condition of Employment: Enhanced Reliability Check.
Relocation
Relocation assistance will be determined in accordance with NRC's relocation
policy.
CONTACT PERSON:
If you think that you would enjoy a team oriented environment which
combines theory with challenging applications please send your resume
to:
Michael Halasz
Institute for Information Technology
National Research Council of Canada
M50 Montreal Road
Ottawa, Ontario, Canada K1A 0R6
tel: (613) 993-8551
fax: (613) 952-7151
email: mike@ai.iit.nrc.ca
January 21, 1997
- 21 January 1997 Daniel J. Berleant
(U. Arkansas)
From: djb@engr.uark.edu (BERLEANT DANIEL J)
Date: Tue, 21 Jan 1997 08:20:37 -0600
Subject: POSITION: Tenure Track, Teaching and Research
This is an informal request for inquiries from people interested in
the tenure track position offered by our dept. starting next
September. Feel free to spread the word.
If you are interested in teaching two software related courses per
semester (typically one undergrad, one grad) and in doing research in
empirical NLP, text processing, information retrieval from full text,
data/knowledge mining from full text, etc., AND you have/are getting
Ph.D. and a formal qualification in engineering (Bachelor's, Master's,
or Ph.D. degree with the word "engineering" in it or issued by a
dept., college, campus, or university with the word "engineering" in
its name, etc.), please email me to discuss applying.
If you don't think you have an engineering degree, check - maybe
you'll be surprised.
I am very interested in promoting applications from people in the
above mentioned areas and look forward to responding forthrightly to
your inquiry.
Best Regards,
Daniel Berleant
Dept. of Computer Systems Engineering
University of Arkansas, Fayetteville
Phone: (501) 575-5590
Fax: (501) 575-5339
Email: djb@engr.uark.edu
- 20 January 1997 John Moody (Oregon Graduate
Institute)
From: John Moody
Subject: Research Position in Statistical Learning Algorithms at OGI
Date: Mon, 20 Jan 97 14:24:15 -0800
Research Position
in
Nonparametric Statistics,
Neural Networks and Machine Learning
at
Department of Computer Science & Engineering
Oregon Graduate Institute of Science & Technology
I am seeking a highly qualified researcher to take a leading role on a
project involving the development and testing of new model selection
and input variable subset selection algorithms for classification,
regression, and time series prediction applications.
Candidates should have a PhD in Statistics, EE, CS, or a related
field, have experience in neural network modeling, nonparametric
statistics or machine learning, have strong C programming skills,
and preferably have experience with S-Plus and Matlab. The
compensation and level of appointment (Postdoctoral Research
Associate or Senior Research Associate) will depend upon experience.
The initial appointment will be for one year, but may be extended
depending upon the availability of funding. Candidates who can
start by April 1, 1997 or before will be given preference, although
an extremely qualified candidate who is available by June 1 may
also be considered.
If you are interested in applying for this position, please mail,
fax, or email your CV (ascii text or postscript only), a letter of
application, and a list of at least three references (names,
addresses, emails, phone numbers) to:
Ms. Sheri Dhuyvetter
Computer Science & Engineering
Oregon Graduate Institute
PO Box 91000
Portland, OR 97291-1000
Phone: (503) 690-1476
FAX: (503) 690-1548
Email: sherid@cse.ogi.edu
Please do not send applications to me directly. I will consider
all applications received by Sheri on or before February 7.
OGI (Oregon Graduate Institute of Science and Technology) has over
a dozen faculty, senior research staff, and postdocs doing research
in Neural Networks, Machine Learning, Signal Processing, Time Series,
Control, Speech, Language, Vision, and Computational Finance.
Short descriptions of our research interests are appended below.
Additional information is available on the Web at
http://www.cse.ogi.edu/Neural/ and http://www.cse.ogi.edu/CompFin/ .
OGI is a young, but rapidly growing, private research institute
located in the Silicon Forest area west of downtown Portland,
Oregon. OGI offers Masters and PhD programs in Computer Science
and Engineering, Electrical Engineering, Applied Physics, Materials
Science and Engineering, Environmental Science and Engineering,
Chemistry, Biochemistry, Molecular Biology, Management, and
Computational Finance.
The Portland area has a high concentration of high tech companies
that includes major firms like Intel, Hewlett Packard, Tektronix,
Sequent Computer, Mentor Graphics, Wacker Siltronics, and numerous
smaller companies like Planar Systems, FLIR Systems, Flight Dynamics,
and Adaptive Solutions (an OGI spin-off that manufactures high
performance parallel computers for neural network and signal
processing applications).
John Moody
Professor, Computer Science and Electrical Engineering
Director, Computational Finance Program
- 17 January 1997 Ed Babb (PARSYS)
Date: 17 Jan 1997 12:04:57 +0000
From: "Ed Babb"
Subject: kdd- job in data mining
OPPORTUNITY IN DATA MINING!
PARSYS is a leading European supplier of parallel systems and technology. They
are currently the lead partner in a large multinational ESPRIT project aimed at
building a parallel data mining file server. Consequently, they are looking for
people interested in data mining systems and with experience of parallel
computers, database technology and machine learning.
The positions involve adapting learning techniques such as rule induction,
neural networks, genetic algorithms to run on a parallel computer. Also helping
to adapt an existing database system to run on a parallel machine. Enthusiasm
for producing fast algorithms in C is essential.
At least a 2.1 degree in Computing, Artificial Intelligence or equivalent is
needed. In addition, several years relevant experience is desirable. Salary
will depend on age and experience.
Please post your CV stating current salary to: Ed Babb, PARSYS LTD, Boundary
House, Boston Road, Hanwell, London, W7 2QE, UK. Alternatively email him on
ed@parsys.co.uk if you wish to make any brief informal enquires.
Please see http://www.parsys.com/dafs.htm for summary of the DAFS project.
- 16 January 1997 Walter Daelemans (Tilburg
University)
VACANCY: COMPUTATIONAL LINGUIST
Tilburg University
Arts faculty
Computational Linguistics
Vacancy for a PhD Researcher (from April 1 1997) on the project
MACHINE LEARNING AS A METHOD IN LANGUAGE ANALYSIS
A grant of the Netherlands Organisation for Scientific research (NWO)
is available for this vacancy (about 27,500 Dutch guilders per year,
for four years). When succeeding in concluding the research with a PhD
within the alotted 4 years, a 2 year temporary postdoc position is
subsequently offered.
About the project:
The availability of large language corpora combined with large
computing power has opened up exciting new possibilities for
computer-aided linguistic analysis. In the ILK (Induction of Language
Knowledge) project of Tilburg University we investigate how inductive
learning algorithms, developed in machine learning (a sub-discipline
of artificial intelligence) and statistical pattern recognition can be
of use in linguistic analysis, language technology, and cognitive
modeling. We are looking for someone with a background in
(Computational) Linguistics or Artificial Intelligence (Machine
Learning) who is willing to research applications of Machine Learning
in Linguistics and prepare a PhD on this topic.
About the group:
At full strength (mid 1997), the ILK research group will consist
of the main researcher, an NWO postdoc, and four PhD researchers. Good
computing facilities (mainly Unix workstations) are available. Several
close research cooperations exist with other groups in The Netherlands
and in Europe.
For more information:
About this vacancy: Walter Daelemans (walter@kub.nl, +31 13 4663070)
About financial aspects: Marleen van de Wiel (M.M.vdWiel@kub.nl, +31
13 4663357)
Application:
Send your application with curriculum vitae, short description of
research interests, and example of recent research (e.g. master's
thesis) before February 15, 1997 to
Walter Daelemans
Tilburg University
Computational Linguistics
PO BOX 90153
5000 LE TILBURG
The Netherlands
----------------------------------------------------------------------
Dr. Walter Daelemans: Associate Professor; Computational Linguistics,
Tilburg University; P.O. BOX 90153; NL-5000 LE Tilburg; The
Netherlands; Tel: +31 13 4663070; Fax: 4663110;
E-mail: walter.daelemans@kub.nl;
http://tkiwww.kub.nl:2080/tki/Faces/Wd/walter.html
----------------------------------------------------------------------
- 8 January 1997 Susan Craw (The Robert Gordon
University)
Date: Wed, 8 Jan 1997 14:37:50 GMT
From: Susan Craw
Subject: Knowledge Refinement Research Positions Available
Research Fellow (Ref 686) and Research Student Posts
We are looking for a Research Fellow (RA1A post) and a Research
Student to work on an EPSRC funded project entitled "Developing a
Toolkit for Automated Knowledge Refinement" The Research Fellowship
will be a 3 year appointment starting early in 1997, date to be
arranged. The Research Studentship starts on or before 1 October
1997.
This project will provide refinement tools which assist with debugging
a knowledge based system and will develop a general refinement
framework and extensible toolkit with which knowledge engineers can
construct particular refinement tools.
Further details about the posts and an overview of the project are
available at http://www.scms.rgu.ac.uk/research/kbs/krustworks
Informal enquiries to:
Dr Susan Craw
School of Computer and Mathematical Sciences
Tel +44(0)1224 262711
Fax +44(0)1224 262727
Email s.craw@scms.rgu.ac.uk
Application Forms/Further Details
Research Fellow: Research Student:
(Please quote Ref No.)
Miss Emma Forster
Personnel Department Academic Affairs Department
The Robert Gordon University The Robert Gordon University
Schoolhill Schoolhill
ABERDEEN AB10 1FR ABERDEEN AB10 1FR
Tel +44(0)1224 262085 Tel +44(0)1224 262163
Fax +44(0)1224 262090 Fax +44(0)1224 262171
Email staffrec@rgu.ac.uk Email e.forster@rgu.ac.uk
- 20 December 1996 Ross Quinlan (University
of Sydney)
Postdoctoral Positions in Machine Learning
University of Sydney
Two research-only positions are available as follows:
(a) First-Order Learning (two years, possibility of renewal for a third)
(b) Computation-Intensive Machine Learning (one year)
Applicants should have a recent PhD in AI or have submitted the thesis
before applying. Requirements include knowledge of symbolic empirical
learning techniques, excellent communication skills, and
well-developed programming skills in C and/or C++.
Applications for the first position close on January 15 1997.
Applications for the second position will be accepted until it is
filled. Salary for both positions will be in the range A$38,092 -
A$40,889.
For more details on the projects and/or positions, please contact
quinlan@cs.su.oz.au or phone +61 2 9351 3524.
- 19 December 1996 Ralph Barletta (Inference
Corporation, California)
Research Staff Position
Inference Corporation+s Software Development organization is looking for
highly qualified researchers to assist in the exploration and
prototyping of new technologies to be incorporated into future versions
of our knowledge management and content navigation software. We are
currently exploring a variety of technology areas including case-based
reasoning, machine learning, natural language processing, text retrieval
and internet search. An applicant for this position must have a Masters
or PhD in Computer Science, programming experience in C/C++ or Java, and
research experience in at least one of the technology areas described
above. Must be willing to relocate to the San Francisco Bay area (Marin
county) to work at our Novato, California headquarters.
Contact:
Ralph Barletta
Chief Scientist
Inference Corporation
100 Rowland Way
Novato, CA, 94945 USA
415-893-7262
barletta@inference.com
- 13 December 1996 Emmanuel Fourakis (AEF Group,
Inc)
Date: Fri, 13 Dec 1996 05:56:17 -0800
From: Emmanuel Fourakis
To: kdd@gte.com
Subject: Positions
Content-Length: 876
I would like to announce the following positions:
a. One-two openings for graduate level interns with Annapolis, MD
software company for algorithm and code development. Positions are
initially part-time, however the company is looking for a long-term
association.
b. One opening for a graduate level intern with Herndon, VA
business consulting company for market research and marketing plan
development. Need business school background but also understanding of
nowledge tools and methodologies. This position is also part-time at
first and it is with my company, The AEF Group. We provide business
development consulting to technology companies.
If anyone is interested, please contact me at:
manos.fourakis@worldnet.att.net or
at 703/404-1481, fax: 703/404-3782.
Thank you,
Manos Fourakis
The AEF Group, Inc.
12418 Willow Falls Drive
Herndon, VA 20170
- 22 November 1996 Tony Plate (Victoria U.
of Wellington)
From: Tony Plate
Date: Fri, 22 Nov 1996 17:19:18 +1300
Subject: Faculty position open: Wellington, NZ
[AI/ML is one of the areas we are seeking to appoint in.]
Department of Computer Science
Victoria University of Wellington
LECTURESHIP in COMPUTER SCIENCE
Position No: 634
November 1996
The University invites applications from suitably qualified persons
for a lectureship in Computer Science. Applicants should hold a PhD
in computer science and show evidence of strong research potential and
excellence in teaching. The Department is seeking to appoint within
its established research areas of software engineering (including
databases), concurrent and distributed systems, and artificial
intelligence. The position is permanent, subject to a probationary
period. Teaching programmes include the PhD, both research and
professional Masters Degrees, and a BSc. The Department has 13
academic staff supported by 6 programming staff, 20-30 graduate
students, and about 90 undergraduates per year. Further information
about the Department is available at http://www.comp.vuw.ac.nz, or
from the chairperson Peter.Andreae@vuw.ac.nz.
Victoria University is situated in Wellington, the capital city of New
Zealand. The city offers an outstanding combination of recreational
and cultural activities. The University has an enrolment of about
10,000 and teaches comprehensive programmes in the sciences, arts,
commerce, education, law and architecture.
The salary scale for Lecturers is currently NZ$41,820-NZ$49,470 per
annum, where there is a bar; then NZ$41.000-NZ$52,530 per annum.
Enquiries and applications should be sent to the address below by the
closing date of 30 January 1996. Applications should include the
following:
1. name
2. address and telephone/fax numbers; email address if applicable
3. academic qualifications
4. present position
5. details of appointments held, with special reference to teaching
appointments
6. research experience
7. field in which specially qualified
8. publications, prefarably under appropriate headings, eg, books,
articles, monographs
9. names and addresses (fax numbers and/or email addresses if possible)
of three persons from whom reference can be requested (in addition to
naming referees, you can include recent testimonials if you wish)
10. date on which able to commence duties
In honouring the Treaty of Waitangi, the University welcomes
applications from Tangata Whenua. It also welcomes applications from
women, Pacific Island peoples, ethnic minorites, and people with
disabilities.
Appointments Administrator
Human Resources Directorate
Victoria University of Wellington
PO Box 600, Wellington
New Zealand
tel: +64 4 495-5272
fax: +64 4 495 5238
Peter.Gargiulo@vuw.ac.nz
Tony Plate, Lecturer Voice: +64-4-495-5233 ext 8578
Dept of Comp Sci, Victoria University Fax: +64-4-495-5232
P.O. Box 600, Wellington, New Zealand Email: tap@comp.vuw.ac.nz
http://www.comp.vuw.ac.nz/Staff/Tony-Plate.html
- 5 December 1996 Stefan Wrobel (GMD)
Subject: GMD Postgraduate Program - Candidates sought in ML/Data Mining
Date: Thu, 05 Dec 96 14:17:13 +0100
From: Stefan.Wrobel@gmd.de
GMD Postgraduate Program - Candidates sought in ML/Data Mining
GMD's postgraduate program offers a two-year position
(renewable for a third year) to young scientists who have just
completed (or are about to complete) their Ph.D.
In particular, we are looking for candidates with a background
in Machine Learning/Data Mining/Knowledge Discovery in Databases
to work in GMD's FIT institute on ML/Data Mining topics. You
would be working in an active group and receive a very competitive
salary. For more information on our group and institute, see
http://nathan.gmd.de/projects/ml/home.html.
Deadline for application is Dec. 15, 1996, so interested applicants
should get in touch with us as soon as possible. Contact:
Stefan Wrobel, E-Mail stefan.wrobel@gmd.de
- 22 November 1996 Munindar
Singh (North Carolina State University)
North Carolina State University
Department of Computer Science
Workflow Management and Data Mining
The Department of Computer Science at North Carolina State University
seeks an assistant professor in the broad area of workflow management
and data mining, although candidates with a background in other areas
of distributed systems will also be considered. We especially seek
candidates with interests and qualifications that complement or
strengthen our present faculty. The successful candidate will have a
Ph.D. in Computer Science and an extensive research record.
This new position has been created to further strengthen our
activities in software systems. Our present activities involve a
number of relevant areas, such as workflows and relaxed transaction
management, software process modeling, formal methods and tools for
concurrency, heterogeneous database access, scientific data
management, multiagent systems, machine learning, distributed
computing, multimedia, and human interfaces. Applications of interest
include education, healthcare, process control, and scientific
decision-support.
The new faculty member will find a lively and collegial work
environment. The department is in a period of rapid growth and
advancement, and is positioning itself to be at the forefront of
selected areas in computer science. We attract research sponsorship
from a variety of sources, including ARPA, AFOSR, EPA, NASA, NIH, NSF,
and ONR. Industrial sources include IBM, Fujitsu, Glaxo-Wellcome, and
others. The candidate will have access to our state-of-the-art
high-performance ATM-based networking, computational, and multimedia
facilities. In December, the department's Multimedia Laboratory, with
which the successful candidate will be affiliated, will move to a
5,000 sq. ft. space in the new $41 million Engineering Graduate
Research Center.
The university is located in Raleigh which forms one vertex of the
world-renowned Research Triangle. The Research Triangle area was
recently recognized as one of the "best places to live in" in the U.S.
It boasts a large concentration of high technology companies, such as
Alcatel, Data General, Ericsson, Fujitsu, Glaxo-Wellcome, IBM, Nortel
(Northern Telecom, Bell Northern Research) and the SAS Institute, and
research institutions such as EPA, NIEHS/NIH, and RTI.
Interested candidates should send their resume (including citizenship
and visa status) and the names of four references to:
Chair, Workflow Recruitment Committee
Department of Computer Science
226 Withers Hall
North Carolina State University
Raleigh, NC 27695-8206, USA
Prospective candidates are encouraged to access the department's
homepage (http://www.csc.ncsu.edu) and to send email to
workflow@csc.ncsu.edu. The university is an Equal Opportunity,
Affirmative Action employer.
- 20 November 1996 Rob Holte (U. Ottawa)
From: Robert Holte
Date: Wed, 20 Nov 1996 09:51:36 -0500
Subject: Postdoc positions - Intelligent Information Access
Two postdoctoral positions are available, starting immediately, in a
3-year joint research project on "Intelligent Information Access"
involving the Computer Science Department of the University of Ottawa,
the Institute for Information Technology (IIT) of the National
Research Council of Canada, and RES International Inc.
The project has two main subprojects -- text summarization, and
intelligent browsing/information access -- each having one postdoctoral
position associated with it.
Drs. S. Matwin and S. Szpakowicz are leading the research on the
automatic summarization of English texts. The postdoctoral position
for this subproject is intended for a recent Ph.D. graduate who has
either a degree in computational linguistics/natural language
processing, preferably with an emphasis on corpus-based approaches, or
a very strong background in these areas. A considerable familiarity
with current machine learning techniques is also expected. Experience
in programming in Prolog is required, fluency is an asset.
Dr. R. Holte is leading the research on intelligent
browsing/information access. The postdoctoral position for this
subproject is intended for a recent Ph.D. graduate with expertise in
the application of Artificial Intelligence techniques to browsing or
information "access" (retrieval, filtering, routing, clustering, or
classification). Familiarity with current machine learning techniques
is required.
The postdoctoral fellows will be based at the University of Ottawa,
and will primarily interact with the research faculty and graduate
students there, but will also have significant contact with several
IIT researchers. The University of Ottawa provides an excellent
working environment and a comprehensive benefit package. The
University is bilingual (French/English) but the working language of
this project will be English.
If you are interested, please send your current CV and names and email
addresses of three references to Dr. Rob Holte (holte@csi.uottawa.ca)
** AS SOON AS POSSIBLE ***.
For more on the University consult "http://www.uottawa.ca/", which
also includes information about Ottawa and the National Capital Region.
For more information on the Knowledge Acquisition and Machine Learning
research group in the Computer Science Department consult
"http://www.csi.uottawa.ca/tanka/kaml.html".
For more information on the Institute for Information Technology,
consult "http://ai.iit.nrc.ca/II_public/index.html".
- 25 November 1996 Nick Filer (University of
Manchester) advertised a position for an M.Phil/PhD research
fellowship.
An EPSRC grant (restricted to EC Nationals) for M.Phil/PhD is
available in the Department of Computer Science at the University of
Manchester (http://www.cs.man.ac.uk). This grant must be filled before
May 1997. Applicants are requested from candidates with outstanding
academic qualifications who wish to pursue a research degree.
Previous research in CBR has concentrated on:
Memory models to support analogical reasoning (indirect retrievals),
Integration of CBR with existing knowledge repositories,
Scaling up of CBR to handle very large case bases,
Integrated multiple view CBR and
CBR applied to digital electronic design knowledge
as well applications of CBR.
Information about CBR research at Manchester can be found on the WWW at:
http://www.cs.man.ac.uk/cad/projects/jcf/cbr.html
A research degree prospectus is at:
http://www.cs.man.ac.uk/rgd/Postgraduate/index.html
Initial queries should be addressed to:
Dr N. P. Filer
Department of Computer Science
University of Manchester
Oxford Road
Manchester M13 9PL
UK
- 19 November 1996 Max Bramer (University of
Portsmouth)
U N I V E R S I T Y O F P O R T S M O U T H
DEPARTMENT OF INFORMATION SCIENCE
RESEARCH ASSISTANTSHIP IN CASE-BASED REASONING
Applications are invited for a Research Assistantship in the
Department of Information Science to commence as soon as possible.
The post is offered for one year in the first instance, with the
possibility of extension for two further years.
The successful candidate will work closely with Professor Max Bramer
(Head of the Department of Information Science) on an agreed area of
Case Based Reasoning. One particular interest is in developing recent
work in the department on the use of mathematical modelling techniques
within case based reasoning systems, using background knowledge to
improve case retrieval and developing a formal framework for
determining the performance of a Case Based Reasoning system, as
applied in particular to the domain of fault diagnosis in aerospace
engineering. The successful candidate will be expected to register
for a higher degree in the University of Portsmouth.
Applicants should have a good honours degree in Computer Science or
related subject.
Salary: at an appropriate point on the University's Research Assistant
Scale, currently stlg10,189 to stlg13,100 p.a.
For further information about the appointment or for an informal
discussion prior to application, contact Professor Bramer either by
telephone (01705-844444) or by electronic mail
(bramerma@sis.portsmouth.ac.uk) or contact Simon Thompson on
01705-844097 (thompsonsg@sis.port.ac.uk).
Further information about the department is also available from the
World-Wide Web at http://www.sis.port.ac.uk
___________________________________________________
Max Bramer
Department of Information Science
University of Portsmouth
Milton, Southsea PO4 8JF, UK
email: bramerma@sis.port.ac.uk
World Wide Web: http://www.sis.port.ac.uk/
Tel: +44(0)1705 844444
Fax: +44(0)1705 844006
- 15 November 1996 Sandi Brummert (Empirical
Media Corp.)
Empirical Media Corporation has some very leading-edge and
intellectually challenging opportunities available at our
Pittsburgh-based company.
As a member of this mailing list, you may know of Research Scientist
professionals or students who would be interested in learning more
about employment with Empirical Media. We have made significant
progress in meeting the challenges of building and marketing a
highly-scalable agent-based filtering system and are now poised for
being a leader in the rapid evolution of artificial intelligence and
machine learning technologies through our WiseWire service on the Web.
What we are seeking are strong research people who have a background
in one or more of the following areas:
o Information Retrieval
o Information Filtering
o Machine Learning
o Distributed Data Base Design
o Agent-based systems
Empirical offers an opportunity for graduating students or
professionals who have reached a plateau in their academic or industry
careers to do what they do best in a well-financed and supportive
business environment. We also offer the chance to join a team of
bright and dedicated technologists that are diligently working to
revolutionize the way people view the Internet. Through our
substantial stock option program, people will be more than well
compensated for applying their talents early on in a rapidly growing
company.
If you know someone who may be interested in pursuing this opportunity,
please contact:
Sandi Brummert, Scientific Career Specialist
Empirical Media Corporation
5001 Centre Avenue; Pittsburgh, PA 15213
phone: 412.688.8870 x132
- 12 November 1996 Ed Babb (PARSYS)
Date: 12 Nov 1996 16:30:17 +0000
From: "Ed Babb"
Subject: JOB- DATA MINING!
JOB: DATA MINING!
Dear Colleague
This may be a rare opportunity to enter the fast growing and exciting
field of data mining!
There are two jobs below which might interest you. One is concerned
with the user interface and communications. The second concerns the
learning and database technology.
If you are not interested yourself, please consider passing on to a
colleague or putting on an appropriate university careers notice
board.
REGARDS
ED BABB
*********************************************
EXCITING OPPORTUNITY IN DATA MINING!
__________________________________________
PARSYS is a leading European supplier of parallel systems and
technology. They are currently the lead partner in a large
multinational ESPRIT project aimed at building a parallel data mining
file server and client. Consequently, they are looking for two people
interested in data mining systems and with experience of the enabling
technologies of user interfaces, databases and machine learning. The
two positions involve:
1. Building client applications and the communications software for a
client server system. Experience of working with customers, system
testing and mounting demonstrators is important. Experience of C is
essential. Experience of Visual Basic useful.
2. Adapting learning techniques such as rule induction, neural
networks, genetic algorithms to run on a parallel computer. Also
helping to adapt an existing database system to run on a parallel
machine. Enthusiasm for producing fast algorithms in C is essential.
For both positions at least a 2.1 degree in Computing, Artificial
Intelligence or equivalent is needed. In addition, several years
relevant experience is desirable. Salary will depend on age and
experience.
Please post your CV stating current salary to: Ed Babb, PARSYS LTD,
Boundary House, Boston Road, Hanwell, London, W7 2QE, UK.
Alternatively email him on ed@parsys.co.uk if you wish to make any
brief informal enquires.
- 11 November 1996 From
Tracy Leighton of Peoplesoft:
Date: Mon, 11 Nov 1996 12:07:04 -0800
Reply-To: tracy_leighton@peoplesoft.com
Organization: PeopleSoft
To: aha@AIC.NRL.Navy.Mil
Subject: Web Pages, etc.
David,
It was a pleasure hearing you speak at the Inference User's Conference
last week. I regretted that I was unable to meet you in person. Perhaps
we will have the opportunity at another conference. Looking at these web
pages (I could spend days!) I saw that you posted jobs to do with
case-based reasoning.
Here at Peoplesoft, we have created a Knowledge Development team within
our IT organization. We will be developing case bases for both our
employees and customers. I am looking for people with case-based
reasoning or expert systems experience to fill two authoring positions
using the Inference CBR products.
If you could post this, I would be most appreciative.
Thank you for providing some much useful information!
Sincerely,
Tracy Leighton
- 1 November 1996 From
Diana Gordon (NRL/DC):
The Navy Center for Applied Research in AI at the Naval Research
Laboratory (NRL) in Washington, D.C. is seeking a qualified graduate
(Master's or PhD) student for full-time research on an ONR-funded
project that combines AI and cognitive science. The project involves
building a hybrid (symbolic+connectionist) model of human learning on
a navigation task. Elements of this cognitive model include
perception, situation assessment, mental models for prediction, motor
control, perceptual-motor coordination, and various forms of learning
including reinforcement learning and concept learning. The model will
be built, in part, from data collected from experiments with human
subjects learning the task.
Requirements for this position include an interest in AI (especially
machine learning) and modeling of human skill acquisition, plus solid
programming skills (including prolog and C experience), and at least
some knowledge of UNIX. Familiarity with Sun workstations would be
helpful, but is not essential. Applicants must either be US citizens
or permanent residents. The work would be mostly at NRL, but one day
a week could be spent at UMCP. Compensation will be based on
qualifications and experience.
- 28 October 1996 From
John Tait U. Sutherland (UK):
Research Assistant
University of Sunderland
U.K.
Case-Based Reasoning in Condition Monitoring
Salary: 9,462 pounds to 13,100 pounds sterling. depending on
qualifications and experience
An assistant is required to work on a contract obtained by the
University from Monition Ltd. to develop a tool utilising
Case-Based Reasoning Technology to help engineers improve their use
of vibration data to better diagnose faults on their plants. The
person appointed will have a Bachelors or Masters degree in Computing
or Engineering and have an established interest in Knowledge
Engineering or Applied Artificial Inteligence. Knowledge and
experience of Vibration Analysis and Case-Based Reasoning will be
an advantage.
Appointment will be fixed term for approximately 22 months starting as
soon as possible.
Candidates will normally be expected to attend for interview in
Sunderland at a date to be announced during November. Expenses will be
paid within the U.K. but not for travel from overseas.
To obtain futher details and application forms Email:
Employee.Recruitment@sunderland.ac.uk
quoting reference CIMR02.
Closing Date 14 November 1996.
Further information about the post may also be obtained from
John Tait (or John Macintyre or Prof. Peter Smith) using
the contact details below.
--------------------------------------------------------
Dr. John I. Tait
University of Sunderland
School of Computing and Information Systems
St. Peter's Campus
Sunderland
SR6 0DD
U.K.
Tel: +44-191-515 2712 Fax: +44-191-515-2781
Email: john.tait@sunderland.ac.uk
WWW home page: http://osiris.sunderland.ac.uk/jta/home
- 25 October 1996From William Cohen (AT&T Labs):
Date: Fri, 25 Oct 1996 14:12:10 -0400 (EDT)
From: William Cohen
Subject: job offer for research programmer at AT&T Labs
The department of Machine Learning and Information Retrieval Research
in AT&T Labs has an immediate opening for a research programmer. This
is a limited term (1-2) year position. Applicants should have a BS or
MS degree in computer science and experience programming in C/C++ in a
Unix environment. Experience with Java and Perl is desirable, as is a
strong mathematical background is desirable. Some experience
(e.g. projects or course work) in any of these areas is also
desirable: machine learning, information retrieval, pattern
recognition, neural networks, or artificial intelligence.
Applicants should have an interest in building robust implementations
of state-of-the-art methods for machine learning and text
categorization, and in interacting with both research and development
groups.
AT&T Labs-Research is located in Murray Hill, NJ but will soon be
moving to Florham Park, NJ. More information about AT&T Labs can be
found at http://www.research.att.com. AT&T is an Equal Opportunity
Employer.
If interested, send your resume to the following address. (A pointer
to a publically accessible web site is preferred.)
William W. Cohen
AT&T Labs-Research
600 Mountain Avenue
Room 2A-427
Murray Hill, NJ 07974
email: wcohen@research.att.com
WWW: http://www.research.att.com/~wcohen/
- 20 October 1996From Mike Pazzani (UCI):
The Information and Computer Science Department at UCI has received a
GAANN grant from the Department of Education that can award 10
fellowships to incoming students (US residents). The AI faculty at
UCI are:
Rina Dechter- Automated Reasoning, Constraint Networks, Bayesian Networks
Rick Granger- Neural Networks, Computational Neuroscience
Dennis Kibler- Machine Learning, Instance Based Learning, Prototype Learning
Rick Lathrop- Intelligent Systems in Molecular Biology, Machine Learning
Michael Pazzani- Machine Learning, Knowledge-intensive methods, Cognition
Padhraic Smyth- Probabilistic Methods for Machine Learning, KDD
The AI faculty have research funds from NSF, ARPA, ONR, and AFOSR as
well as joint projects with industry to support graduate students as
research assistants.
Application material, including an online application, can be found
on the WWW at http://www.ics.uci.edu/~gcounsel/applicantfaq.html
or by sending e-mail: theresa@ics.uci.edu Phone: (714) 824-2277
There are a variety of other fellowship opportunities available from
the university.
==============================================================================
Michael Pazzani, Chair phone (714) 824-5888
Department of Information and Computer Science fax (714) 824-4056
University of California e-mail pazzani@ics.uci.edu
Irvine, CA 92717-3425 http://www.ics.uci.edu/~pazzani
- 20 October 1996From John Darlington (Imperial
College)
Research Assistant Positions Available
Imperial College/Fujitsu Parallel Computing Research Centre
Dept. of Computing, Imperial College
We are seeking to employ 3 research assistants for a period of at
least one year, with a very likely extension by two more years,
to join a project developing data mining algorithms on parallel
computers. Candidates should have experience on data mining
research including induction based learning algorithms, neural
networks, data visualisation and other data analysis methods.
Experience on parallel programming (C + MPI), GUI and data base
programming (SQL) will be advantageous.
Email your application (including resume, names and addresses of
at least two referees, sample papers and statement of research
interests) to:
Prof. John Darlington
Dept. of Computing
Imperial College
180 Queen's Gate
London SW7 2BZ, UK
E-mail: jd@doc.ic.ac.uk
Fax : 44-171-5818024
- 11 October 1996From Ted Senator (NASD):
From: "Senator, Ted"
Subject: KDD Positions at NASD
Date: Fri, 11 Oct 96 11:00:00 PDT
Content-Length: 2772
The National Association of Securities Dealers, Inc. (NASD), through
it s subsidiaries the Nasdaq Stock Market and NASD Regulation, Inc.,
develops, operates, and regulates liquid, efficient and fair
securities markets for the ultimate benefit and protection of the
investor. NASD Regulation s Office of Technology Services is hiring
for several positions to augment our core capability in Knowledge
Discovery and Data Mining (KDD). More information about NASD, Nasdaq
and NASD Regulation are available at http://www.nasd.com,
http://www.nasdaq.com and http://www.nasdr.com, respectively.
The Nasdaq Stock Market lists over 5,120 domestic and foreign
companies, more than any other stock market in the world. Nasdaq's
share volume reached 101.2 billion shares in 1995 and dollar volume
reached $2.39 trillion. In 1995, Nasdaq share volume surpassed that of
all other U.S. stock markets.
What distinguishes Nasdaq is its use of computers and a vast
telecommunications network to create an electronic trading system that
allows market participants to meet over the computer rather than face
to face. Our systems use Tandem, Sequent and Sun hosts, with Sun and
PC workstations. NASD/Nasdaq/NASD Regulation employ over 400
technical staff who design, develop, integrate, test, maintain and
operate our trading, regulatory, and administrative systems.
We are interested in experienced KDD applications developers as well
as recent graduates with backgrounds in machine learning, statistics,
visualization, and database technology. Strong hands-on programming
skills (C/C++, SQL, and/or Java) are required. Knowledge of or
interest in the capital markets is a plus. We work closely with
business experts and users to apply leading edge technology as
components of innovative systems to continually enhance our position
as the world s leading regulator of capital markets.
These positions are located in our Rockville, MD facility outside
Washington, DC. We offer a competitive compensation and flexible
benefits package. NASD/Nasdaq/NASD Regulation are Equal
Opportunity/Affirmative Action Employers and are committed to
diversity in our workforce. NASD is also a drug-free and smoke-free
workplace. Only those candidates selected for an interview will be
contacted.
If you are interested, please contact Ted Senator at senatort@nasd.com
for further information, or forward your resume to Miguel Bustillo,
National Association of Securities Dealers, 15201 Diamondback Dr.,
Rockville, MD 20850-3389.
- 24 September 1996From Jakub Zavrel (Tilburg U.)
From: Jakub.Zavrel@kub.nl
Date: Tue, 24 Sep 1996 12:51:18 +0200 (MET DST)
Subject: PhD position in Computational Linguistics
COMPUTATIONAL LINGUISTICS VACANCY
Tilburg University
Arts faculty
Computational Linguistics
Part of the CLS (Center for Language Studies) research institute
Vacancy for a PhD Student (from January 1 1997) on the project
Memory-Based Syntax
or
Inductive Learning as a Method for Language Analysis
A grant is available for this vacancy (NLG 27,500 per year, for four
years). When succeeding in concluding the research with a PhD within
the alotted 4 years, a temporary postdoc position is offered.
Background information for this vacancy:
The availability of large language corpora combined with
large computing power has opened up exciting new possibilities for
computer-aided linguistic analysis. In the ILK (Induction of Language
Knowledge) project of Tilburg University we investigate how inductive
learning algorithms, developed in machine learning (a sub-discipline
of artificial intelligence) and statistical pattern recognition can be
of use in linguistic analysis, language technology, and cognitive
modelling. To join this project we are looking for a PhD student with
a background in computational linguistics or artificial intelligence
(machine learning) who is willing to study applications of inductive
learning in Linguistics and Language Technology.
More information:
About this vacancy: Walter Daelemans (walter@kub.nl, +31 13 4663070)
About financial aspects: Marleen van de Wiel (+31 13 4663357)
APPLICATION:
Send your application with curriculum vitae, short description of
research interests, and example of recent research (e.g. thesis)
before October 5 to
drs. Th. van den Hoek
Faculteit der Letteren
Postbus 90153
5000 LE TILBURG
The Netherlands
- 18 September 1996From Russ Greiner (Siemens, NJ):
Date: Wed, 18 Sep 1996 10:05:07 -0400 (EDT)
From: Russell Greiner
Subject: Position #2: Research Programmer
The Adaptive Information and Signal Processing Department at
Siemens Corporate Research, Inc. in Princeton, New Jersey has
immediate openings for software development experts with proven
software development skills including
C / C++
MFP
OLE
Familiarity with UNIX and X windows is a plus.
Some experience (course or project work) in one or more of these
technical areas is a significant plus:
machine learning
expert systems (and other areas of AI)
adaptive signal processing
fuzzy logic
user agents
neural networks
intelligent control
To qualify for one of these positions, you should have a master's
degree with proven software development skills and some demonstrated
experience in one of the above technical areas and a strong interest in
collaborating with researchers and development aimed at delivering
working prototypes and products to Siemens companies.
Siemens is a world-wide company with sales of more than $60billion and
world-wide employment of almost 400,000. In the US, Siemens has sales
of $6billion and almost 40,000 employees.
Siemens Corporate Research, Inc. employs approximately 140 technical
staff with an emphasis on imaging, multimedia, software engineering
and adaptive systems. SCR's mission is to provide technical expertise
to develop solutions for Siemens operating companies and groups.
Siemens is an Equal Opportunity Employer.
If interested, do **NOT** reply to this message. Send your resume to:
Russell Greiner
Siemens Corporate Research Inc.
755 College Road East
Princeton, NJ 08540
- 17 September 1996 From Andi Hindle (Harlequin Limited)
Date: Tue, 17 Sep 1996 19:38:15 +0100
From: Andi Hindle
Subject: New positions at Harlequin Limited.
NEW POSITION
A number of positions have become available at Harlequin Limited.
We need people with real-world experience in object-oriented analysis and
design; statistics and probabilistic inference; scheduling; operations
research; workflow; data mining; machine learning; and web development.
Full details are available at .
resources@harlequin.co.uk
- 17 September 1996 From Nikola Kasabov (U. Otago)
Two positions for Junior Research Fellows in Connectionist-Based
Information Systems
The Information Science Department is working in collaboration with
other universities in New Zealand and abroad, on a research programme
"Connectionist-Based Information Systems" funded by the New Zealand
Foundation for Research, Science and Technology (FRST). The project
involves programming and using AI systems (neural networks, rule-based
systems, fuzzy systems, genetic algorithms, rules extraction
algorithms) in a distributed platform-independent environment. The
project aims also at applying the developed methodologies and tools
for adaptive speech recognition and language translation, adaptive
control, data mining, image processing.
Two graduates from Information Science, Computer Science, Electrical
Engineering or Mathematics are sought to work on the project. The
desirable skills are: knowledge on contemporary methods and techniques
for information processing and intelligent information systems;
excellent programming skills; experience in working with operating
systems for PC and SUN platforms in a distributed network environment;
experience in developing software systems to work on the Internet and
the WWW; good communication skills in English.
This full-time positions are funded initially for one year but, as the
department is looking at an ongoing research in this subject area, an
extension of the contract may be possible. Along with the work on this
project, an enrolment for a PhD study would be considered a desirable
combination if applicable.
Salary will be at the scale of $26,500 (JRF 1.2) or $27,500 (JRF
1.3) per annum pro rata depending on the experience and the degrees
hold by the applicants. A job description and application forms are
available on request from the Personnel Services Section of the
Registry (phone:+64 3 479 8265, fax: +64 3 479 5059), from the
Department of Information Science (Ms Louise Vink,
lvink@commerce.otago.ac.nz) or from New Zealand Employment Service.
Further enquires may be made to Associate Professor Nikola Kasabov
(nkasabov@otago.ac.nz) or Dr Martin Purvis (mpurvis@otago.ac.nz).
Applications quoting reference number N96/276 close with the Registrar
on Friday, 5pm, 18 October 1996. They should be forwarded to the
Registrar, University of Otago, PO Box 56, Dunedin, New Zealand.
Equal opportunity in employment is University policy. DO NOT send
original documents in support of your application copies are
adequate and preferred. It is our policy not to return documents
unless specifically requested.
-----------------------------------------------------------------
Assoc.Professor Dr Nikola Kasabov phone:+64 3 479 8319
Director of Graduate Studies fax:+64 3 479 8311
Department of Information Science nkasabov@otago.ac.nz
University of Otago P.O. Box 56, Dunedin, New Zealand
home page http://divcom.otago.ac.nz:800/COM/INFOSCI/KEL/home.htm
-----------------------------------------------------------------
- 11 September 1996From Bill Brooks (SRA International, Inc.)
Date: Wed, 11 Sep 1996 15:35:28 -0400
From: Bill Brooks x7848
Subject: KDD/Machine Learning: SRA, N. VA
SRA International, Inc. is a premier developer of information systems
and provider of a full range of information technology services for
both commercial and federal clients. We are continuing our explosive
growth as a leader in the information industry, as evidenced by our
recent listing as one of the Top 100 Information Technology Services
companies.
SRA is seeking people interested in working in a dynamic, collegial,
advanced technology organization to conduct research, develop
products, and implement systems using Knowledge Discovery in Databases
(KDD). SRA is an industry leader in the development and application
of new KDD technologies. SRA has significant experience, an
established customer base, and a continuing commitment to advancing
the state of the art in a number of areas which are key to processing
large volumes of structured and unstructured data. Areas include
inductive learning, clustering, data conditioning, data visualization,
database optimization, and parallel algorithms.
Our working environment provides a strong synergy between projects and
teams. Many of our projects employ machine learning techniques in the
development of multi-strategy, parallel data mining applications to
solve challenging, real-world problems. If you like the idea of being
immersed in these technologies, have a desire to discuss new
directions and to participate in teams that are charting new
territory, this is the place for you. We have positions open at all
levels. Come and talk to us and find out more.
Requirements: Ph.D. or M.S. in Computer Science (or related field)
with experience in machine learning, data warehousing, or database
design; Strong C/C++ and/or SQL programming skills in Unix and Windows
NT environments desired; Experience in Java, Web-based systems and
products, or on-line services a plus.
Send your resume by mail to SRA, Attn: HB-3, 4300 Fair Lakes
Court, South Building, Suite 500, Fairfax, VA 22033, by fax to
703-227-8268 or 703-803-1509, or by email to careers@sra.com. SRA is
an equal opportunity employer, m/f/d/v and maintains a drug-free work
force. For further information, please see our home page at
http://www.sra.com.
- 10 September 1996 From Graham Williams (CSIRO)
From: Graham Williams
Subject: Position in Computational and Statistical Data Mining (ANU)
Date: 10 Sep 1996 09:13:06 +1000
ACSys Cooperative Research Centre for
Advanced Computational Systems
The Cooperative Research Centre for Advanced Computational Systems
(ACSys) has been established under the Australian Government's CRC
Program with the mission of establishing an internationally
competitive research capability in the area of high performance
advanced computational systems. Facilities include access to a
128-cell Fujitsu AP1000, a 13-processor Fujitsu VPP-300 and a Digital
Alpha ATM Cluster. The Centre's institutional participants are The
Australian National University and CSIRO and its principal commercial
participants are Digital Equipment Corporation, Fujitsu Australia
Limited and Sun Microsystems Australia. ACSys is based at the ANU in
Canberra.
Applications are invited to fill the following position in the
Computational and Statistical Methods for Data Mining Applications
Project. The aim of this project is to develop and investigate new
statistical methods, algorithms and software to be used in practical
data mining applications. The research will be done in close
collaboration with the Data Mining Demonstrator Project of the CRC.
Applicants should have a strong research record and interests in
one or more of the following areas: computational statistics,
statistical methods for large data sets, parallel numerical algorithms
for linear systems and optimisation and data mining algorithms.
Appointment will be for a fixed period of up to two years with the
possibility of extension. Secondments will be considered.
Contact: Dr Markus Hegland, phone (06) 249 3011, fax (06) 249 4812,
email Markus.Hegland@anu.edu.au
Further particulars and selection criteria must be obtained before
applying from Ms Amanda Erbacher or Mr Tim Surendonk, phone (06) 249
2035, fax (06) 249 0747.
Further information including the selection criteria is available
from ftp://acsys.anu.edu.au/pub/ParAlgs
Closing Date: 27 September 1996.
Ref: ACS 28.8.1
Salary: Postdoctoral Fellow (Level A) $34,008 - $41,421 pa
or Research Fellow (Level B) $43,602 - $51,777 pa
Applications addressing the selection criteria should be submitted in
duplicate to: The Secretary, The Australian National University,
Canberra, ACT 0200 quoting the reference number and including
curriculum vitae, list of publications and names and addresses and fax
numbers of at least three referees. The University has a "no smoking"
policy in all university buildings and vehicles.
THE UNIVERSITY IS AN EQUAL OPPORTUNITY EMPLOYER
--
Dr Graham.Williams@cbr.dit.csiro.au ,--_|\ Tel: (+61 6) 216 7042
Senior Research Scientist, Data Mining / \ Fax: (+61 6) 216 7112
CSIRO Div of Info Tech, Aust Nat Univ \_.--_*/ GPO Box 664 Canberra
v ACT 2601 Australia
- 27 August 1996 From Derek Sleeman (U. Aberdeen)
University of Aberdeen
Computing Science Department
The University will shortly be advertising a further Chair in
Computing Science to be filled as soon as possible. Further, it has
been decided that the Research interests of the person appointed will
very probably be in the broad areas already covered by the Department
- namely Artificial Intelligence and Data Bases.
Recently, the University has made a major Research investment in the
Institute of Medical Sciences, and thus as we are seeking to
strengthen links with the University's Medical School, it would be an
advantage if the person had experience of working in Medical (or
Healthcare) Informatics.
The person appointed will have an international reputation and will
have made a major contribution to his/her chosen fields. Candidates
from industry or scientific or healthcare institutions who have made
major contributions, possibly as research managers, will also be
considered.
Additionally, the person appointed will also be expected to make a
significant contribution to the management of the Department.
Currently, the Department's Management is devolved through a series of
portfolios - namely: MSc course; Research; Undergraduate Affairs;
Personnel & Finance; and Head of Department (Prof Derek Sleeman).
As Pat Fothergill will retire shortly, one of these portfolios (to be
negotiated) will need to be undertaken by the person appointed to this
post. Further, it is expected that the person appointed will assume
the duties of Head of Department as from the Summer of 1998.
For more details of the Department's Research activities please see
our web pages (http://www.csd.abdn.ac.uk) or email the contact persons
noted below:
Derek Sleeman: sleeman@csd.abdn.ac.uk
Peter Gray pgray@csd.abdn.ac.uk
Phone: +44 (0)1224 272295/6
Fax: +44 (0)1224 273422
- 23 August 1996 From David Wolpert (IBM Almaden)
*** Job Announcements. Please distribute. ***
The Web is currently dumb.
Join our team at IBM net.Mining; we are making the web intelligent.
We currently have immediate need to fill positions at our Almaden
Research Center facility in the south of Silicon Valley. net.Mining is
a sub-organization of IBM Data Mining Solutions, a rapidly expanding
group that also has openings (see recent postings). IBM is an equal
opportunity employer.
Scientific Programmers:
Responsibilities: Interact with the Machine Learning Researchers to
implement new web-based algorithms as code, verify the code, and test
the algorithms in real world environments. Must be able to work
independently.
Qualitifications: Bachelors or equivalent in computer science,
statistics, mathematics, physics, or an equivalent field. Higher
degree highly desirable. Extensive experience implementing numeric
code, especially in machine learning, statistics, neural nets, or a
similar field. Familiarity with college-level mathematics
(multi-variable calculus, differential equations, linear algebra,
etc.) 2 or more years experience with C/C++ in a research or
commercial environment. Knowledge of Internet technologies highly
desirable.
Machine Learning Researchers:
Responsibilities: Develop new algorithms applying machine learning and
associated technologies to the web. Develop new such
technologies. Work with the Scientific Programmers to implement and
investigate those algorithms and technologies in the real world.
Qualifications include: PhD or equivalent in computer science,
statistics, mathematics, physics, or an equivalent field, with an
emphasis on machine learning, statistics, neural nets, or a similar
field. Strong background in mathematics. Experience with C/C++ highly
desirable. Knowledge of information retrieval and/or indexing
systems, text mining, and/or knowledge of Internet technologies, all
highly desirable.
- 20 August 1996: From John Kingston (AIAI)
Openings will shortly be available for new technical staff at AIAI in
Edinburgh. AIAI has considerable experience of applying AI techniques
(primarily knowledge based systems) in the commercial world. AIAI's
main technical themes currently include knowledge based planning,
knowledge based scheduling, and knowledge engineering
methods. Applications are invited from anyone who has experience in
these areas, or anyone who has experience of commercially viable AI
techniques (such as case based reasoning) who would like to develop
their work further through the production of "real world"
applications.
See http://www.aiai.ed.ac.uk/jobs/TechStaff96.html for more details.
- 6 August 1996: From Kamal Ali (IBM/Almaden)
IBM DATA MINING POSITIONS
Join the team! We are an entrepreneurial organization within IBM
developing Data Mining solutions. We have three groups, a consulting
services group, research & development group, and software application
development group. Currently, we are looking for qualified
individuals in the rapidly expanding consulting services group.
DATA MINING ANALYSTS/CONSULTANTS Analysts will be responsible for
performing consulting engagements in any of the following areas:
finance, insurance, retail, tele- communications, media, and health
care. There will also be opportunities for teaching business
data-mining classes and a few opportunities for applied research for
the kinds of problems that arise from our data-mining
engagements. Familiarity with databases, statistics, data preparation,
and high-end data mining techniques and tools required. Familiarity
with SAS and previous experience in applying data-mining in a
commercial context are big pluses. Applicants must have advanced
degrees in CS, Statistics, or Mathematics - PhD preferred. Applicants
should have good communication skills, like working with people in a
team environment, be willing to travel and be application
oriented. These positions provide excellent customer contact with high
level executives in FORTUNE 500 companies.
These positions will be located at our world class research lab -
Almaden Research Center - in sunny San Jose, CA. Almaden is located
in beautifully situated rolling hills in Silicon Valley affording
close contact with top universities such as Stanford University and
UC Berkeley.
For further information, please email your resume to myself
(ali@almaden.ibm.com) preferably in ASCII or Postscript format. I've
been working as an Analyst in IBM's data mining group since December
and it's been a great experience. Feel free to contact me with
questions. (408) 927-1354.
Also check out our web pages, which give some detailed examples of how
we've used our tools to build and visualize models and give
information on previous engagements we have had.
http://www.almaden.ibm.com/stss (click on "Data Mining")
======================================================================
Kamal Mahmood Ali, Ph.D. Phone: 408 927 1354
Consultant and data mining analyst Fax: 408 927 3025
Data Mining Solutions, Office: ARC D3-250
IBM http://www.almaden.ibm.com/stss/
- August 1996: From Andy Darden (U. York)
UNIVERSITY OF YORK
RESEARCH ASSOCIATESHIP
INTERACTIVE CASE MEMORIES, STRATEGIC PLANNERS
AND SIMULATION SYSTEMS
Applications are invited from postgraduate computer scientists with
research experience in software-engineering, human-computer
interaction, or knowledge based systems. The research associateship is
funded by Engineering and Physical Sciences Research Council and
Northern Electric Distribution Ltd and is available for 3 years. The
research is concerned with the use of Interactive Case Memories to act
as knowledge mediators between a complex system based around one
domain of knowledge, and a group of users from a different knowledge
domain. In this case the mediation is between the technicians
simulating electrical power supply networks and strategic planners
whose knowledge is focussed on financial, managerial and customer
service issues. The project will also involve EA Technology Ltd as
supplier of the network simulation tools. Particular expertise in
case-based reasoning would be most welcome. The salary will be in the
1A scale between =A314,317 and =A318,294 depending on age and
experience.
The deadline for applications is 23rd August 1996. Informal enquiries
may be made to Professor Michael Harrison (01904 432732) email:
mdh@minster.york.ac.uk or Dr Andy Dearden (01904 433376) email:
andyd@minster.york.ac.uk. Four copies of a curriculum vitae should be
sent to: The Personell Officer, University of York, Heslington, York,
YO1 5DD, UK.
-----------------------------------------------------------------
Andy Dearden Dept. of Computer
Science andyd@minster.york.ac.ukHCI Group
tel: 01904-433376 University of York
fax: 01904-432767 York
YO1 5DD
http://Dcpu1.cs.york.ac.uk:6666/~andyd/UK
- 29 July 1996: from Pat Langley (Daimler-Benz)
The Institute for the Study of Learning and Expertise (ISLE) has
openings for postdoctoral researchers in three projects:
- use of machine learning in analysis of aerial images (e.g.,
inducing the conditions for applying vision operators);
- use of machine learning in large-scale crisis planning (e.g.,
inducing conditions for applying plan adaptation operators);
- use of machine learning in robotic localization/navigation
(e.g., acquiring place knowledge in terms of evidence grids).
All three efforts focus on adapting existing learning algorithms
to complex task environments. Thus, the ideal candidates will have
experience with a variety of induction methods and have detailed
knowledge of computer vision, planning, or robotics.
In addition, the vision and planning positions (available this fall)
will involve the development of adaptive interfaces that personalize
themselves to individual users, so experience in this area would
also be an asset. The robotics project is contingent on renewal
funding, with a starting date in late 1996 or early 1997.
ISLE is a nonprofit corporation that specializes in basic and applied
research on machine learning. The Institute is located in Palo Alto,
adjacent to Stanford University, and all three projects will involve
interaction with university researchers. For more information about
the positions or ISLE, contact Pat Langley (langley@cs.stanford.edu).
- 22 July 1996: From Francesco Ricci: (IRST)
Istituto Trentino di Cultura
Istituto per la Ricerca Scientifica e Tecnologica
The Istituto per la Ricerca Scientifica e Tecnologica (IRST) is
seeking a person for a research position in case based reasoning
(CBR) and machine learning.The position is advertised as part of a
long term plan whose goal is to strengthen the IRST group working in
the area of Reasoning and CBR in particular. The position requires
highly motivated outstanding individuals capable of working in a
research group including researchers, programmers, and students.
The successful candidate will be responsible for the development and
deployment of advanced case-based reasoning software. The position
will involve working on research and technology transfer projects, as
defined by IRST's research plan. The work will involve close
collaboration with industry. Publishing is encouraged.
Istituto Trentino di Cultura (ITC) is a regional research organisation
created in 1962, in order to promote research activities in the
Trentino area.ITC has currently a staff of 200 full-time researchers
(plus several fellows, consultants and visiting scholars) and a 1996
provisional budget of more than 13,100,000 ECU.
IRST is the main research centre of ITC. Its organisation and planning
are directed to pursue both basic and applied research, through a
co-ordinated design that integrates objectives of research excellence
and responsiveness to local, national, and international development
needs. IRST's main efforts are concentrated in interactive sensorial
systems, cognitive and communication technologies and in the design,
fabrication and testing of intelligent smart optical and bio-sensors.
The successful candidate will be in the Cognitive and Communication
Technologies division, working in a group of people concerned with
Automated Reasoning and Knowledge Representation. This group at the
moment has nine full time researchers, some post-docs, and various PhD
and Master students. More specifically, he or she will closely
collaborate with the people developing a state of the art CBR tool to
be applied in a number of different applications (Natural Resource
Management, Fraud Detection, DSS in the Banking environment).
More information can be found at the following Web addresses:
ITC: http://www.itc.it/
IRST: http://artemide.itc.it:80/irst/
Reasoning Area groups:
Reasoning for Decision Support: http://mnemosyne.itc.it:1024/rds/
Mechanized Reasoning:http://afrodite.itc.it:1024/
Knowledge Representation and Reasoning: http://mnemosyne.itc.it:1024/
REQUIRED:
-MS/PhD in Computer Science, Mathematics, Engineering or
related field
-Min 3 years of experience developing and maintaining complex
large-scale R&D software applications either in industry or academia
-Excellent working knowledge of LISP or C++. -Familiarity with UNIX
-Some mathematical sophistication
-Good problem solving and communication skills
(both written and verbal)
DESIRED:
- International experience
- Earlier work on case-based reasoning or machine learning
applications - Experience with any of the following: Relational DBs,
SQL, HTML, Data Visualization, Data Mining;
- Some familiarity with probability theory and statistics.
HOW TO APPLY
The interested candidate should send a resume plus names and
addresses (including email addresses when possible) of three people
who can recommend them.The resume should make clear under which
circumstances these people have known the candidate.
This position is advertised for three years, to be renewed each year.
This position can be further extended at the end of the three years.
This will depend on the scientific results obtained and the
industrial projects acquired. The salary is competive.
The deadline for submission is September 15th. We would like to fill
this position by November 1st.
Inquiries and requests for further information should be directed to:
Francesco Ricci
IRST
Loc. Pante' di Povo
38050 Trento, Italy
Tel: ++39-461-314334, Fax: ++39-461-302040 email: ricci@irst.itc.it
WWW http://mnemosyne.itc.it:1024/ricci
Applications should be sent to:
Fausto Giunchiglia
IRST
Loc. Pante' di Povo
38050 Trento, Italy
Tel: ++39-461-314-436 (517), Fax: ++39-461-302040
email: fausto@irst.itc.it
WWW http://afrodite.itc.it:1024/~fausto
- 18 June 1996: From Mack Amin: (UHC)
From: sma@uhc.com (Mack Amin)
Subject: Open Position
Date: Tue, 18 Jun 1996 12:54:43 -0500 (CDT)
The Advanced Technology Center of United HealthCare Corp. (UHC) has a
senior opening (with emaphasis on data warehousing, VLDB, data mining)
as described below. If you have appropriate background, please send
your resume to the given addresses.
In case of any questions, email me at sma@uhc.com.
-Mack
=================================================================
Position Title: Sr. Technical Systems Analyst
I. Position Purpose:
o Coordinate ongoing technology assessment efforts throughout UHC
by leveraging the knowledge and experience of experts throughout
the corporation.
o Play a major role on implementation team addressing data and
systems integration, technology architecture, operations, and
change management.
o Establish and maintain relationships with key IT personnel, both
management and technical within UHC as well as with major vendor
representatives.
o Keep abreast of the latest technology advancements, make proposals
for analyzing new technologies, evaluate technology upgrades, and
consult on use.
o Actively participate in the various Technology Task Force and
Special Interest Group initiatives and provide leadership when
required.
II. Position Qualifications:
o MA or MS degree in Computer Science, MIS or equivalent experience
preferred.
o 7+ years experience in MIS related area (e.g. database design/
administration, data warehousing/decision support, software design/
development/support, hardware design/engineering/support, data
modeling, case tools, telecommunications, PC workstations, LAN/WAN
design/management, parallel computing, distributed domputing,
knowledge based/expert systems design/development, etc.) with
2+ years experience in data mining, VLDB, parallel DBMS, or data
warehousing.
o Large project management/consulting experience whose product/service
affected multiple organizations requiring cooperative involvement
is very desirable.
III. Special Skills:
o Must be a strong team player with excellent oral and written
communications skills.
o Must be able to act as a facilitator, integrator, and mediator with
people from various organizations having different interests, needs,
experiences, and expectations.
o Possesses strong planning, time management, analytical, and
organizational skills plus understand the relationship between
business needs and technical solutions.
o Have the ability to manage multiple tasks, prioritize work, work
independently and be self starting and self directed
Please send your resume (email/fax/snail) to any of the following
individuals:
Mack Amin Mike Biele
9705 Data Park, MN06-6130 9705 Data Park, MN06-613
Minnetonka, MN 55343 Minnetonka, MN 55343
Fax: 612-945-6502 Fax: 612-945-6502
Email: sma@uhc.com Email: mbiele@uhc.com
- 11 June 1996: From Tej Anand: (NCR)
We have 2 immediate openings in the Knowledge Discovery group at NCR's
Human Interface Technology Center (HITC).
Both these positions require at least a graduate degree in Computer
Science with specialization in machine learning, statistics or very
large databases. Work within a specialization should demonstrate
experience in dealing with issues pertaining to knowledge discovery.
NCR is the world leader for commercial data warehouse solutions.
NCR's customers include some of the world's largest retail, consumer
packaged goods, transportation (cargo & passenger),
telecommunications, insurance and banking enterprises.
The HITC, located in midtown Atlanta, is an R&D group of approximately
100 individuals. HITC's vision is to revolutionize the way computer
based products relate to people. Researchers at HITC have
unprecedented access to NCR customers. Customer partnerships give us
a context and focus to address challenging problems in the area of
human-computer interaction. Our core competencies include user
centered design, multi-modal user interfaces, mobile computing,
audio/video processing, synthetic environments, image understanding,
case-based reasoning and knowledge discovery.
The Knowledge Discovery team at the HITC was established in 1993 to
enable commercial enterprises realize business insights hidden in
their operational data. This team conducts R&D to develop innovative
knowledge discovery processes and data mining tools. All R&D is
conducted in partnership with NCR customers.
To learn more about the Knowledge Discovery team visit our website at
http://www.ncrhitc.com/high/skills/kd.
To apply for the openings send your resume via e-mail to
tej.anand@atlantaga.ncr.com or by regular mail to
Tej Anand
NCR Corporation
Prom I, Room 8147
1200 Peachtree St.
Atlanta, GA 30309.