Postdoc position in Computational Neuroscience

Our Research

A postdoc position is available at the University of Bern, Switzerland, at the Department of Physiology, under the supervision of Prof. Walter Senn. It starts with a 1-year contract, with the possibility of extensions.

At the intersection of neuroscience and artificial intelligence, this position offers the opportunity to generalize our recent cortical model of multi-head self-attention (bioRxiv, 2026) toward in-context learning driven by biologically plausible neuronal error-circuits. Our model provides a mechanistic framework that unifies attention-based learning with gradient-based synaptic plasticity.

You will collaborate directly with the team behind The Virtual Brain and apply these network models to study neurological disorders through the lens of disrupted sensory, motor, and cognitive self-attention. Your work will further integrate with our ongoing research to extend the Neuronal Least-Action Principle into long-term temporal processing and spike-based learning paradigms. Ultimately, you will be tackling a core challenge in the field: harnessing online learning in neuronal circuits to both decode human brain function and architect novel AI algorithms.

Qualifications

A PhD in computational neuroscience, machine learning, physics, applied mathematics, or a related quantitative field, with strong publication track record and mathematical skills.

What we offer

• Interdisciplinary & international research environment at the frontier of neuroscience and AI, with genuine project ownership.
• Collaborations across artificial intelligence, experimental neuroscience and neuromorphic engineering beyond University of Bern.
• A beautiful working place in the UNESCO-listed capital of Switzerland, with walking distance to nature and mountains within reach, and an internationally competitive Swiss salary.