Stellenticket Humboldt-Universität zu Berlin

• Conduct research in the field of generative AI and/or stochastic optimization
• Teach exercise classes in the mathematics program and in the Engineering disciplines

Further information can be obtained from Prof. Dr. Gabriele Steidl (steidl@math.tu-berlin.de).

• successfully completed academic degree (Master, Diplom or equivalent) in mathematics
• Excellent knowledge of analysis, stochastics (particularly stochastic differential equations), optimization, and generative AI
• Very strong programming skills (PyTorch, Python)
• The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills.
• Ability to work effectively as part of a team is desirable

Please send your application with the reference number and the usual documents only by email (in a single pdf file, max 5 MB) to Prof. Dr. Gabriele Steidl (steidl@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.