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.
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)
We accept applications from all candidates with a PhD who have a strong background in Machine Learning. 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.
What 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.