PhD Candidate in Machine Learning and Quantum Many-Body Physics

This position involves conducting research at the intersection of machine learning and quantum many-body physics within the Interpretable Machines for Physics (IMP) research group. The role focuses on developing interpretable, reliable, and scalable machine learning approaches for challenging quantum problems while contributing to teaching and academic events. The successful candidate will work in an interdisciplinary environment at Leiden University with structured mentoring and scientific freedom.