PhD in Theoretical Physics

The Centre for Machine Learning invites applications for a paid PhD research fellowship position within the field of probabilistic machine learning to be filled earliest by 1 January 2026 for a period of three years. The research project will investigate new algorithmic principles that make learning agents adapt to non-stationary environments in an autonomous manner. The expected outcomes are new theoretical insights about the algorithmic roots of autonomous behavior and their representative demonstrations in challenging simulation environments. The successful candidate will join the vibrant research atmosphere at the SDU Adaptive Intelligence Laboratory and contribute to the publication of high-quality research papers at top-tier machine learning venues such as NeurIPS, ICML, AISTATS, together with the other lab members. The candidate will also fulfill teaching assistantship duties.