PhD Position on Reinforcement Learning at the University of Neuchatel

[C. 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.

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.

* Starting date: 1 Februrary 2022. *

* Application deadline: 30 November 2021*

* Application procedure * 

For further information or to apply, please contact me directly

at christos.d...@gmail.com with the subject 'PhD

Neuchatel Reinforcement Learning'. 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.