Zurich is inviting applications for
**2 fully funded PhD positions in Computer Science (Algorithmic
Game Theory + Machine Learning).**
You will work with Prof. Dr. Sven Seuken on high-impact market
design projects. Market design is a research field that combines
techniques from computer science, game theory, operations
research, and other fields. Its goal is to design new,
well-functioning marketplaces or repair ones that are broken. In
our research group, we study foundational market design
questions from an algorithmic and game-theoretic perspective.
Current members of our research group work on a variety of projects
including machine learning-based combinatorial auctions, data
markets, cloud computing markets, financial markets, and
equilibrium finding algorithms. The focus of the two new positions
will be on the intersection of machine learning, market design, and
algorithmic game theory. Most of our projects are funded by the
Swiss National Science Foundation. Furthermore, we also collaborate
with industrial partners such as Google and Microsoft. We publish
our research in the top international conferences in the areas of
AI and Economics and Computation.
We offer:
- a team of young and highly motivated colleagues who are
passionate about topics at the intersection of computer science
and game theory (in particular: market design)
- strong support for your professional/career development
- a very competitive salary
- generous support for professional travel and research needs
- an attractive work environment both within the research group
and beyond: the University of Zurich is one of Switzerland's
leading universities in the middle of a vibrant, cosmopolitan
city that regularly ranks as one of the cities with the highest
quality of life in the world.
You have:
- a master's degree in computer science or a related field (e.g.,
mathematics, economics, or operations research). Highly qualified
students with a bachelor's degree may also apply.
- an interest in topics at the intersection of computer science and
game theory
- strong mathematical skills and a good background in
theoretical computer science
- excellent communication skills in English (German speaking skills
are not necessary)
- prior knowledge in game theory, machine learning, or optimization
is desirable but not required.
If you fit this profile, like challenging tasks, and are passionate
about research, then we would love to hear from you. Women are
particularly encouraged to apply. To submit your application,
please go to: http://www.ifi.uzh.ch/en/ce/jobs/phd.html
All applications received by June 30, 2018 will be considered.
Applications received afterwards will be considered until both
positions are filled. The preferred starting date is September 1st,
but the exact starting date is flexible. Further
information about the research group is available online at:
http://www.ifi.uzh.ch/ce.
Best,
Sven Seuken
--
Sven Seuken, PhD
Associate Professor of Computation and Economics
Department of Informatics
University of Zurich
http://www.ifi.uzh.ch/ce
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
