PhD in Decision Making Under Uncertainty: Reinforcement Learning, Approximate Bayesian Inference, Fairness and Privacy, Multi-agent Systems University of Neuchâtel in Switzerland

Christos Dimitrakakis is recruiting a PhD student for a position in Decision Making Under Uncertainty at the University of Neuchâtel and Agroscope in Switzerland.

The research areas include reinforcement learning, approximate Bayesian inference, fairness and privacy, and multi-agent systems. The post is well suited to candidates with interests in AI/ML, statistical learning, and mathematically grounded decision-making research.

Eligibility highlights: a Master’s degree in computer science, statistics, mathematics, data science, artificial intelligence, economics, electrical engineering, or a related field; strong background in AI/ML, statistics, and mathematics; fluency in English; programming skills are a plus.

Location: Neuchâtel and Posieux, Switzerland.

Deadline: 5 July 2026, with applications reviewed as they arrive.

How to apply: email [email protected] with subject PhD RLDM 2026 and attach a one-page motivation letter, a Master’s thesis or research writing sample, transcripts, and a CV.