PhD Position in Decision Making Under Uncertainty, Neuchatel, Switzerland

[Christos Dimitrakakis]

We are looking for a PhD student in the following areas:

- Reinforcement Learning
- Approximate Bayesian Inference
- Fairness and Privacy
- Multi-agent systems

= Position details=
- Host Institution: University of Neuchâtel.
- Location: Neuchâtel, Switzerland.
- Application Deadline: 5 July 2026. However, applications will be reviewed as they come in.
- Start Date: September 2026 or later upon agreement.
- Duration: 4 years.
- Group page: https://sites.google.com/site/christosdimitrakakis/

= Application procedure =
To apply, send an email to christos.d...@unine.ch with the subject 'PhD RLDM 2026'

1. A one-page letter explaining why you are interested in (a) one or more of those particular areas in the description of the position (b) how you fit in with the rest of the research group (c) your research interests more generally.
2. Your Master thesis, or other example of your research writing.
3. Grade transcripts.
4. A CV

= Candidate Profile =

- Required: A Master’s degree in computer science, statistics, mathematics, data science, artificial intelligence, economics, or a related field.
- Required: Good background in AI/ML/statistics/mathematics.
- Required: Fluency in English.
- Good-to-have: Programming skills.