• Research within the BMBF joint project "Integrated neurotechnological camera system for contactless screening of virus-related respiratory diseases (VI-Screen-PRO) - sub-project: Mathematical image processing and machine learning

• successfully completed degree (Master, Diploma or equivalent) in mathematics or engineering with in-depth mathematical knowledge in probability theory, optimization and mathematics/implementation of generative neural networks
• experience in mathematical image processing
• good knowledge of German and/or English required; willingness to acquire the respective missing language skills, for collaboration in the medical field

Desirable:

• enjoy working in a team

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

Please send your application with the reference number and the usual documents by email (in a single pdf file, max 5 MB) to 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 guarantee 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.

Technische Universität Berlin - Die Präsidentin - Fakultät II, Institut für Mathematik, Prof. Dr. Gabriele Steidl , Sekr. MA 4-3, Straße des 17. Juni 136, 10623 Berlin