Research Associate/Fellow in non-equilibrium physics and/or applications of machine learning to many-body systems (fixed term)
The project is to carry out research in broad theoretical areas of classical and/or quantum non-equilibrium physics, including condensed matter, statistical mechanics, atomic physics, and machine learning.
One area of interest will be exploring the connections between methods and ideas of classical and quantum non-equilibrium systems with approaches and techniques in deep learning and neural networks.