JOB OPENING: Research programmer, Beckman Institute (Univ. of Illinois)

William Hsu (
Sun, 18 Jan 1998 22:10:12 +0100 (MET)

(Repost of original announcement, 12/31/1997)


University of Illinois at Urbana-Champaign
Beckman Institute, Artificial Intelligence Division
Knowledge Based Systems Group

The Artificial Intelligence Division of the Human-Computer
Intelligent Interaction (HCII) Group at the Beckman Institute is seeking
two (2) full-time research programmers to assist in design and
implementation of a research tool for real-time decision making under
uncertainty. The system will be based on architectures and algorithms for
intelligent uncertain reasoning, particularly Bayesian (belief) networks.

Key Duties

- Implement Bayesian network inference engines and interface
- Write specification and design documents; document code
- Define interfaces between inference engine and other modules
(user interface and database)
- Work with other group members to develop real-time
decision making system

Qualifications / Requirements

- Bachelor's degree in Computer Science or related discipline
- Experience with programming in either of:
* Common Lisp (or Scheme)
* C++ (especially MS Visual C++)
- Experience in artificial intelligence is preferred, in particular:
* Probabilistic inference, especially using
Bayesian (belief) networks or neural networks
* Machine learning, especially using genetic algorithms
- Experience with databases is a plus

This is a 12-month, full-time academic professional position at
Beckman Institute. Salary is commensurate with experience. Starting date
is as soon as possible. For full consideration, applications must be
received by February 15, 1998.

Please send your application with resume, including a letter of
interest, names of references, contact information, and a recent
transcript to:

Professor David C. Wilkins
Director, Knowledge Based Systems Lab

and cc the e-mail to:

Knowledge Based Systems Lab
University of Illinois, Beckman Institute
405 North Mathews Avenue
Urbana, IL 61801
FAX: (217) 244-5915

Please send only postscript or ASCII files by e-mail.
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