Connectionists: PhD Scholarship in reinforcement learning, privacy, or fairness at the university of Neuchatel, Swizerland

[Christos Dimitrakakis]

PhD Scholarship in reinforcement learning, privacy, or fairness at the 
university of Neuchatel, Swizerland

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/ ).


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 September 2022 or soon afterwards.
*Application deadline* 31 May 2022.

To apply sen an email to christos.dimitrakakis at unine.ch 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 a draft) or another research work demonstrating 
your academic writing.
4. A degree transcript.

Feel free to include any other additional information.