Publisher
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University of Bern

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Postdoc Position in Computational Neuroscience and Artificial Intelligence University of Bern in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 6, 2026

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Country

Switzerland

University

University of Bern

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Keywords

Computer Science
Biology
Mathematics
Artificial Intelligence
Neuropsychology
Synaptic Plasticity
Neural Circuit
Physics
Neurological Disorder
ML

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About this position

Postdoc position in Computational Neuroscience at the University of Bern, Switzerland, in the Department of Physiology and supervised by Prof. Walter Senn.

The project sits at the intersection of neuroscience and artificial intelligence. It focuses on extending a cortical model of multi-head self-attention toward biologically plausible neuronal error-circuits and in-context learning, with links to gradient-based synaptic plasticity, long-term temporal processing, and spike-based learning. The work also connects to The Virtual Brain and the study of neurological disorders through disrupted sensory, motor, and cognitive self-attention.

Applicants should hold a PhD in computational neuroscience, machine learning, physics, applied mathematics, or a related quantitative field, and have strong mathematical skills plus a strong publication record.

The position is 100% fixed-term, initially for 1 year with the possibility of extension. The post mentions an internationally competitive Swiss salary and an interdisciplinary, international research environment.

Deadline: September 6, 2026. Applications are reviewed on arrival, so early submission is encouraged.

How to apply: Send a single PDF with your CV, statement of research interests, publication list, and contact details of two referees to [email protected] and [email protected], or use the application link provided.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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