Research fellow (m/f/d) in the field of Theoretical and Computational Neuroscience with expected full-time employment – E 13 TV-L HU (third-party funding, limited until 30.06.2026)
- Kennziffer
- DR/214/25
- Kategorie(n)
- Wissenschaftliches Personal
- Anzahl der Stellen
- 1
- Einsatzort
Faculty of Life Sciences – Department of Biology
- Bewerbung bis
- 05.11.25
- Text
Job description:
- scientific services in research on the role of different neuronal excitability types for learning in biological and artificial spiking neural networks
- documenting and improving new optimization methods for SNNs developed within the group, which are capable of learning not only synaptic connections but also intrinsic neuronal bifurcation parameters and excitability types
Requirements:
- an excellent scientific university degree and doctorate in computational neuroscience or theoretical biophysics, with a focus on the electrical activity of nerve cells
- Excellent knowledge of numerical optimization of spiking neural networks (SNNs) using PyTorch
- Excellent knowledge of bifurcation analysis and relevant software (e.g., AUTO, PyDS) as a method for the theoretical investigation of single-neuron dynamics
- Experience in supervising academic projects for students
- Bewerbung an
Please send your application (including cover letter, curriculum vitae and relevant certificates), referencing the job ID DR/214/25 to Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Biology, Prof. Dr. Susanne Schreiber (located: Philippstr. 13, Haus 4, 10115 Berlin), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file to s.schreiber@hu-berlin.de.
The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please only submit copies in the application.
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