Delft University of Technology is offering a PhD position focused on theoretical reinforcement learning, aiming to advance the understanding and development of new learning algorithms. The project emphasizes the analysis and design of learning algorithms with formal performance guarantees.

The selected candidate will join the Sequential Decision-Making group and focus on challenges in reinforcement learning and function approximation methods. This role will allow you to delve deep into reinforcement learning theory while exploring mathematics to develop robust learning techniques.

Candidates should be motivated to tackle complex mathematical problems and should be fluent in written and spoken English.

Qualifications 

Master’s degree in Mathematics, Computer Science, Physics, or a related field. Good mathematical background; familiarity with statistics and optimization is required. Knowledge in machine learning is a plus.