PhD in Reinforcement Learning, Differential Privacy or Fairness

[Christos Dimitrakakis]

We are looking for a PhD student to join our group on reinforcement
learning and decision making under uncertainty more generally, at the
University of Neuchatel, Switzerland ( https://www.unine.ch/ ).  We
are particularly interested in candidates with a strong mathematical
background. Prior research experience as documented by your Masters
thesis is required. Within the area, we are looking for candidates
with a strong research interest in the following fields

- Reinforcement learning and decision making under uncertainty:
1. Exploration in reinforcement learning.
2. Decision making nuder partial information.
3. Representations of uncertainty in decision making.
4. Theory of reinforcement learning (e.g. PAC/regret bounds)
5. Bayesian inference and approximate Bayesian methods.

- Social aspect of machine learning
1. Theory of differntial privacy.
2. Algorithms for differentially private machine learning.
3. Algorithms for fairness in machine learning.
4. Interactions between machine learning and game theory.
5. Inference of human models of fairness or privacy.

The main supervisor will be Christos Dimitrakakis <
https://sites.google.com/site/christosdimitrakakis >

Examples of our group's past and current research can be found on arxiv:
https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. 
The student will have the opportunity to visit and work with other group
members at the University of Oslo, Norway (
https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and
Chalmers University of Technology, Sweden (
http://www.cse.chalmers.se/~chrdimi/ ). While the group is currently
geographically distributed, there will be plenty of opportunities for
exchanges.


The PhD candidate must have a strong technical background, including:

1. Thorough knowledge of calculus and linear algebra.
2. A good theoretical background in probability and statistics/machine
learning.
3. Practical experience with at least one programming language.

The candidate's background will be mainly assessed through their MSc
thesis and transcripts, and secondarily through an interview.


>>>> Application Information <<<<<

*Starting date* 1 Februrary 2022 or soon afterwards.
*Application deadline* 30 November 2021.

To apply sen an email to christos.d...@gmail.com with the
subject 'PhD Neuchatel'.
An application must include:

1. A statement of research interests and motivation relevant to the
position.
2. A CV with a list of references.
3. Your MSc thesis or another research work demonstrating your academic
writing.
4. A degree transcript.

Feel free to include any other additional information.