Applications are invited for a Post-Doctoral Fellow position in
Intelligent Decision Support System Laboratory
Department of Computing & Information Science
University of Guelph
Guelph, Ontario
Canada
The fellowship is for one-year with possibile renewal.
The successful applicant will work on probabilistic reasoning
and decision making with graphical models, multi-agent
reasoning using belief networks, and learning probabilistic or
causal graphical models. Both theoretical research and applied
research are involved, including prototype system implementations.
Current research activities in the Intelligent Decision Support
System Laboratory can be found at
http://snowhite.cis.uoguelph.ca/decision-support/
Candidates should have a Ph.D. in computer science or equivalent.
Previous research background in probabilistic graphical models
and belief networks is essential. Candidates with research
experience on distributed and multiagent systems are preferred.
Experience with large software development in C++ or Java is
highly desirable.
Please send a CV, a description of research interest highlighting
the qualifications relevant to the above research activities, two
recent publications, and a list of references with e-mail addresses to
Prof. Y. Xiang
Dept. Computing & Information Science
University of Guelph
Guelph, Ontario
Canada N1G 2W1
E-mail: [EMAIL PROTECTED]
Tel: (519) 824-4120 ext. 2824
Fax: (519) 837-0323
Electronic submissions in plain text, Postscript, PDF or Word are
encouraged.
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