Postdoctoral Theoretical Computational Neuroscientist
University of Bern Institute of Physiology

Position of Postdoctoral Theoretical Computational Neuroscientist

The Department of Physiology, University of Bern, is looking to hire a theoretical and/or computational neuroscientist at the postdoctoral level. A PhD in computational/theoretical neuroscience or a closely related field, along with a desire to work tightly with experimentalists would be strongly recommended.

The aim of the project is to
(a) propose an experimentally testable theory of predictive coding,
(b) derive specific testable predictions at the single cell resolution,
(c) test them by analyzing existing experimental data obtained in the Department and
(d) propose new experiments than can be conducted in the Department.
The specificity of the project is the closed-loop interactions between theory and experiments.

The candidate will have access to experimental data acquired within the research groups of Thomas Nevian, Shankar Sachidhanandam and Stéphane Ciocchi. These groups focus on cortical function, ranging from sensory perception and predictive processing to emotional state transitions and memory formation in head-fixed and freely moving mice.
Supervision will be provided by Prof. Jean-Pascal Pfister of the Theoretical Neuroscience Group, along with close collaboration with the experimental groups. The candidate can further benefit from interactions with members of the computational neuroscience group of Walter Senn specializing in deep learning.
Interested candidates can send their application and inquiries via email to The application should include the following as one pdf document: letter of motivation, CV, contact details of 2 references, 1 page research statement covering future research goals and project interests. The position is funded for a duration of three years. Deadline for application is the 31st of October 2019 or until the position is filled.

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