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<p data-path-to-node="2">Dear Connectionists,</p>
<p data-path-to-node="4">A postdoctoral position in Computational Neuroscience is available at the University of Bern, Switzerland, at the <a href="https://physiologie.unibe.ch/research/research_groups/computational_neuroscience/index_eng.html">Department of
Physiology,</a> under the supervision of Walter Senn.</p>
<p data-path-to-node="5"><b data-path-to-node="5" data-index-in-node="0">The Project.</b> At the intersection of neuroscience and artificial intelligence, this position offers the opportunity to generalize our recent <a href="https://www.biorxiv.org/content/10.64898/2026.08.06.743205v1" originalsrc="https://www.biorxiv.org/content/10.64898/2026.08.06.743205v1">cortical
model of multi-head self-attention</a> 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.</p>
<p data-path-to-node="6">You will collaborate directly with the team behind <a href="https://ebrains.eu/data-tools-services/modelling-simulation/whole-brain-simulation" originalsrc="https://ebrains.eu/data-tools-services/modelling-simulation/whole-brain-simulation">The
Virtual Brain</a>, applying these network models to study neurological and psychiatric disorders through the lens of disrupted sensory, motor, and cognitive self-attention. Furthermore, your work will integrate with our ongoing research to extend the <a href="https://elifesciences.org/reviewed-preprints/89674" originalsrc="https://elifesciences.org/reviewed-preprints/89674">Neuronal
Least-Action Principle</a> 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.</p>
<p data-path-to-node="7"><b data-path-to-node="7" data-index-in-node="0">Qualifications. </b>A PhD in computational neuroscience, machine learning, physics, applied mathematics, or a related quantitative field. Strong publication track record and excellent
mathematical skills.</p>
<p data-path-to-node="9"><b data-path-to-node="9" data-index-in-node="0">What We Offer</b></p>
<p data-path-to-node="9">- <span lang="EN-US" style="font-size: 10pt;">An interdisciplinary and international research environment at the frontier of neuroscience and AI, featuring next-door interactions with the </span><span lang="EN-US" style="font-family: "Times New Roman", serif;"><a href="https://physiologie.unibe.ch/e1723626/e1723688/e1724187/index_eng.html" style="color: rgb(149, 79, 114);"><span style="font-size: 10pt; font-family: Helvetica;">Mihai
Petrovici</span></a></span><span lang="EN-US" style="font-size: 10pt;"> and <a href="https://physiologie.unibe.ch/research/research_groups/theoretical_neuroscience/index_eng.html" style="color: rgb(149, 79, 114);">Jean-Pascal Pfister</a> labs, and genuine
project ownership.</span></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Helvetica;"><o:p></o:p></span></p>
<p data-path-to-node="9">- <span style="font-size: 10pt;">Active collaborations across artificial intelligence, experimental neuroscience, and neuromorphic engineering beyond University of Bern. </span></p>
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<span lang="EN-US" style="font-size: 10pt; font-family: Helvetica;"><o:p></o:p></span></p>
<p data-path-to-node="9">- An internationally competitive Swiss salary, and a beautiful workplace in the UNESCO-listed capital of Switzerland, with nature and mountains within walking distance. </p>
<p data-path-to-node="9">- The position starts with a 1-year contract (flexible starting date, ideally around October 1), with the possibility of extensions.</p>
<p data-path-to-node="11"><b data-path-to-node="11" data-index-in-node="0">How to Apply.</b> Please send a single PDF document containing your CV, a statement of research interests, a publication list, and the contact details of two referees to <a href="mailto:walter.senn@unibe.ch">walter.senn@unibe.ch</a> and <a href="mailto:federico.benitez@unibe.ch">federico.benitez@unibe.ch</a>.</p>
<p data-path-to-node="12">Informal inquiries are welcome. Applications will be reviewed upon arrival, latest by <b data-path-to-node="12" data-index-in-node="86">September 6, 2026</b>; early applications are highly encouraged.</p>
<p data-path-to-node="13">Best regards,</p>
<p data-path-to-node="14">Walter</p>
<p data-path-to-node="14">Department of Physiology, University of Bern</p>
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