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A leading research institution in Bonn announces two postdoctoral positions in computational neuroscience. Ideal candidates should be internationally experienced researchers with a PhD in relevant fields. Responsibilities include conducting innovative research, designing computational models, and engaging in interdisciplinary collaboration. Applications should include a cover letter, CV, and references. Expected start date is between March and October 2026. This role offers a unique opportunity to explore pressing scientific questions in neuroscience.
Position: Post-doctoral Position
Deadline: 16 February 2026
Employment Start Date: 1 May 2026
Contract Length: see text
City: Bonn
Country: Germany
Institution: University of Bonn
Description:
Two postdoc positions (m/f/d) are available in the Tchumatchenko group.
The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs through this funding scheme that have not worked in Germany before.
The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who is looking to answer open questions in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential.
Potential scientific projects should lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience and address one of the following questions:
How is the molecular dynamics organized across the brain and what are statistical differences across cell types?
How can we design computational models and conduct data analysis at the level of transcriptomes and proteomes to understand the implementation of physiological and behavioral conditions across the brain?
How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals?
Can we identify behavioral states and link them to particular circuit activity states?
Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko@uni-bonn.de. Please include in your subject line “AvH Application your name”. We are looking forward to your application!
Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable, preference for March to October 2026 or 2027.
Tatjana Tchumatchenko
Professor (W3) for Computational Neuroscience of Behavior
Institute for Experimental Epileptology and Cognition Research
Medical Faculty, University of Bonn
Poppelsdorfer Allee 24
53115 Bonn
www.tchumatchenko.de
[1] https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz-scouting-programm