The DI (Decision and Image) team of the Heudiasyc (Heuristic and
Diagnostic Methods for Complex Systems) laboratory recruits one PhD
student funded by the French ministry of education.
The thesis topic concern the problem of learning what are the optimal
pieces of information one should query to reduce uncertainty and reach
a unique optimal decision. Depending on its preferences and skills,
the candidate will either focus on active learning or expert
elicitation problems. The student work will be performed in close
collaboration with experts in the fields of learning and reasoning
under
uncertainty.
The ideal candidate has a strong commitment to research and to the
completion of the PhD program, has strong skills in mathematics or
computer science, has good communication skills in English, good
programming skills, and ability to work in a collaborative environment.
For Further information, you can contact
(sebastien.destercke@hds.utc.fr) or download the application file at
https://www.hds.utc.fr/~sdesterc/dokuwiki/_media/en/learning_thesis_subject.pdf
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