PhD positions in Fair Reinforcement Learning

Neuchâtel           ·              Full time

We are looking for motivated PhD students in the fields of reinforcement learning, fairness and mechanism design at the university of Neuchatel.

This project is about developing reinforcement-learning based AI systems that directly interact with some segment of society. The applications include matching and other allocation problems. The research will be performed at the interface between reinforcement learning, social choice theory, Bayesian inference, mechanism design, differential privacy and algorithmic fairness.  The research will have both a theoretical and practical component, which will include some experiments with humans. However, a good theoretical background in probability, machine learning or game theory is necessary for all students.

Neuchatel is a vibrant, affordable lakeside city at the Jura mountains of Switzerland, with short connections to Zurich, Lausanne, Fribourg and Bern.

The positions are available from January 2024. The PhD lasts for 4years and includes a small teaching component. To apply, send an email to first.lastname at unine.ch with the subject “PhD Application FairRL”.

Please include:

1. A statement of research interests.
2. A detailed CV.
3. A transcript of your diplomas.
4. Your Master/Diploma thesis, and any draft or published papers.

For more information about the position see:https://sites.google.com/site/christosdimitrakakis/positions 

For information about the group, seehttps://sites.google.com/site/christosdimitrakakis