PhD Student in Physical Learning in Dynamical Systems

Join AMOLF as a PhD student to explore the theory of learning in dynamical physical systems. This project aims to develop a theoretical framework for understanding how learning emerges in systems that operate far from equilibrium. Candidates should have a strong background in physics, engineering, or computer science, and good communication skills in English are required. The position offers a unique opportunity to work at the intersection of various scientific fields and contribute to a growing international research effort.