[DMANET] Postdoc position in Machine Learning in ERC project (University of Zurich)

The Computation and Economics Research Group
<https://www.ifi.uzh.ch/en/ce.html> of the Department of
Informatics at the University of Zurich (UZH), led by Prof. Dr. Sven
Seuken <https://www.ifi.uzh.ch/en/ce/people/seuken.html>
<https://www.ifi.uzh.ch/en/ce/people/seuken.html>
Sven Seuken <https://www.ifi.uzh.ch/en/ce/people/seuken.html>, is
inviting applications for:

**1 Postdoc position in Machine Learning**

About us: The group currently consists of one professor and 4 PhD
students. All group members have a strong background in
mathematics/computer science and work on market design research
questions. 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/computational and game-theoretic perspective. Current
group members work on a variety of projects including machine
learning-powered combinatorial auctions, cloud computing markets,
equilibrium finding algorithms, and adoption marketplaces. We
publish our research in the top international conferences and
journals in the areas of AI and Economics and Computation. In some
projects, we also collaborate with industrial partners such as
Google Research and Microsoft Research.

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)
- a competitive salary of approximately 90,000 Euro per year and
generous social benefits
- generous support for professional travel and research needs
- no teaching requirements: but if desired, opportunities to gain
teaching and mentoring experience and strong support for your
career development
- 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 PhD degree in computer science or a related field (e.g.,
mathematics or operations research)
- an excellent publication record in your field
a passion for research at the intersection of computer science
and game theory
excellent communication skills in English (German speaking skills
are not necessary)

For the Postdoc in Machine Learning we accept applications from all
candidates with a PhD who have a strong background in Machine
Learning. The successful candidate will join the ERC project on
"Machine Learning-based Market Design (MIAMI)" led by Prof. Dr.
Sven Seuken. On a high level, the research question to be
investigated in this project is how we can combine techniques from
machine learning with market design to develop better market
mechanisms. The ideal candidate has already published papers in the
top ML/AI conferences such as ICML, NeurIPS, KDD, AAAI and IJCAI.
Prior research experience in Algorithmic Game Theory is desirable
but not required. The exact starting date is flexible/negotiable.
The duration of the position is between 1 and 4 years, depending on
the candidate's career plans.

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/postdoc.html

The position will be open until filled. To receive full
consideration, applications should be submitted by May 10, 2020.
Further information about the research group is available online
at: http://www.ifi.uzh.ch/ce. For inquiries about the positions,
please contact seuken@ifi.uzh.ch.

--
Prof. Dr. Sven Seuken
Head of Computation and Economics Research Group
University of Zurich
Phone: +41 44 635 67 48
Web: https://www.ifi.uzh.ch/en/ce/people/seuken.html


**********************************************************
*
* 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/
*
**********************************************************