framework of the Czech Science Foundation project "Efficient and
Realistic Models for Computational Social Choice", investigated by
Martin Koutecký and Pavel Veselý. Applications are invited from
candidates who have strong background in algorithms (in particular
parameterized, approximation, or streaming), continuous or discrete
optimization, and/or computational social choice, and who have
completed their Ph.D. degree in theoretical computer science or
mathematics within the last 4 years (or will complete their Ph.D.
degree by Fall 2022).
The position is hosted by the Computer Science Institute
(https://iuuk.mff.cuni.cz <https://iuuk.mff.cuni.cz/>), a lively,
excellent, and inspiring workplace located in the beautiful historical
center of Prague. Prague's location in the heart of Europe makes it
easy to travel to many attractive locations, be it for work or leisure.
Come join us!
*Starting date:* Fall 2022 (flexible)
The application should contain:
* Short letter of motivation,
* Professional CV (including the list of publications),
* Two letters of recommendation.
*Application deadline:* January 31, 2022.
The application and the recommendation letters should be sent
electronically to: koutecky@iuuk.mff.cuni.cz
<mailto:koutecky@iuuk.mff.cuni.cz>
The project's webpage is <https://research.koutecky.name/projects.html>
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There are also 2 funded positions for PhD students; we are looking for
candidates with a strong background in theoretical computer science or
discrete mathematics who have completed their undergraduate studies or
will complete them by Fall 2022. The application should contain:
* Professional CV with a statement of research interests,
* One letter of recommendation.
*Application deadline:* February 15, 2022 (flexible)
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