Stellenticket Humboldt-Universität zu Berlin

The majority of the tasks consist of research on neuronal population dynamics, spiking neural networks, working-memory models and mean-field theory within the DFG project "The Role of Long-Range Brain Connectivity in Human Language Processing (Connlingua)".
In addition, supervision of seminars and lectures (1 hour per week), among others: teaching of exercise classes, co-supervision of Bachelor and Master students/theses.

More information can be obtained from Prof. Dr. Tilo Schwalger (schwalger@math.tu-berlin.de).

• Successfully completed scientific university degree (Masters, Diploma or equivalent) in Mathematics, Physics, Computational Neuroscience or related field of study
• Excellent knowledge of nonlinear dynamics and stochastic processes and keen interest in theoretical neuroscience and mathematical modelling
• Additional knowledge in Computational Neuroscience is desirable
• Excellent analytical and programming skills as well as very good English language skills are required
• The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills

Please send your application stating the reference number with the usual documents (in particular a short letter of motivation, complete and up-to-date CV, names and contact
details of at least 2 references, Master's degree) by email (in a single pdf document, max. 5 MB) to the MA 5-1 office for the attention of Ms Konteva at konteva@math.tu-berlin.de.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.