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Postdoctoral Position in Computational Neuroscience at University of Bern, Switzerland

The computational neuroscience group at the Department of Physiology studies mathematical models of neurons and synapses in the context of cortical information processing and learning. We are particularly interested in biologically plausible models for learning and memory which explain animal and human behaviour. The current project aims  to extend the theory of reinforcement learning in spiking neurons to networks and their application to perceptual learning and decision making.

Ideal candidates have a theoretical PhD related to Computational Neuroscience, in Theoretical Physics, Mathematics or Engineering with a strong background in Mathematics.