We are looking for a PhD student in the following areas:
Reinforcement Learning
Approximate Bayesian Inference
Fairness and Privacy
Multi-agent systems
• Host Institution: University of Neuchâtel and Agroscope
• Location: Neuchâtel and Posieux, Switzerland.
• Application Deadline: 5 July 2026. However, applications will be reviewed as they come in.
• Start Date: September 2026 or later upon agreement.
To apply, send an email to christos.dimitrakakis@unine.ch with the subject 'PhD RLDM 2026'
A one-page letter explaining why you are interested in (a) a particular area in the description of the position (b) how you fit in with the rest of the resrarch group (c) your research interests more generally.
Your Master thesis, or other example of your research writing.
Grade transcripts.
A CV
We are seeking a highly motivated researcher, willing to work in an interdisciplinary team with:
Required: A Master’s degree in computer science, statistics, mathematics, data science, artificial intelligence, economics, electrical engineering, or a related field.
Required: Good background in AI/ML/statistics/mathematics.
Required: Fluency in English.
Good-to-have: Programming skills.