We are looking for three highly motivated Research Fellow to join Associate Professor Xia Kelin’s team at the School of Physical and Mathematical Sciences. The project focuses on developing Mathematical AI techniques, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and applying these methods to molecular sciences, including biology, chemistry, materials, etc.