PhD Position in Foundation Models for Multi-Agent Reinforcement Learning
SDU Career Site · Posted Nov 9, 2026
- Odense, Funen, Denmark
- On-site
- Full-time · Entry
The research project will investigate new algorithmic principles that make large populations of learning agents solve open-vocabulary control tasks from sparse reward signals, focusing on probabilistic machine learning and reinforcement learning.
Responsibilities
- Investigate new algorithmic principles that make large populations of learning agents solve open-vocabulary control tasks from sparse reward signals
- Produce new theoretical insights about the algorithmic roots of autonomous behavior and their demonstrations
- Publish high-quality research papers at top-tier machine learning venues such as NeurIPS, ICML, AISTATS
- Fulfill teaching assistantship duties
Requirements
- Master’s degree in Computer Science
- Artificial Intelligence
- Mathematics
- Statistics
- Theoretical Physics