We are looking for a highly motivated postdoctoral researcher to join and lead projects on the interface of biology, physics, and machine learning. The successful candidate will take a prominent role in studying how different neural circuits interact and share information to facilitate faster and more efficient computation.
Our lab combines machine learning practices with statistical mechanics and the theory of dynamical systems to understand the dynamics of neural activity. We are interested in how neural dynamics implement different computational tasks and how learning shapes neural dynamics.