The lab of Christian Leibold invites applications of postdoc candidates on topics related to the geometry of neural manifolds. We will use spiking neural network simulations, analysis of massively parallel recordings, as well as techniques from differential geometry to understand the dynamics of the neural population code in the hippocampal formation in relation to complex cognitive behaviors. Our research group combines modelling of neural circuits with the development of machine learning techniques for data analysis. We strive for a diverse, interdisciplinary, and collaborative work environment.