University professorship in the field of “Deep Learning” (W3, IV-520/25)
Job Posting IV-520/25
University professorship (pay scale W3) in the field of “Deep Learning”
About us
With around 35,000 students, around 350 professorships, and around 7,000 employees, the Technische Universität Berlin is a university of excellence within the Berlin University Alliance. BIFOLD (Berlin Institute for Foundations of Learning and Data) at Technische Universität Berlin, Berlin's competence center for artificial intelligence, is one of five national university centers for artificial intelligence in Germany. Its goal is to advance fundamental research, education, and technology transfer in big data and machine learning, as well as at the interface between the two. BIFOLD also aims to strengthen Berlin's position as a global leader in these fields. www.bifold.berlin
We value the diversity of our members, pursue the goals of equal opportunity, and are certified as a family-friendly university.
Your responsibility
The professor will carry out research and teaching in one or several of the following fields:
- machine learning with a focus on (generative) deep learning,
- applications of deep learning in computer vision and/or the sciences,
- fundamentals of deep learning architectures and inference principles,
- adaptation of domain knowledge for deep learning,
- representation learning,
- deep learning and human cognition.
The successful candidate will primarily be tasked with research activities in accordance with the Federal Government-State Agreement. A reduction in teaching obligations is planned in accordance with § 1 in conjunction with § 7 LVVO. As an internationally renowned university, we require the ability to teach in German and English, or the willingness to acquire the necessary language skills within a reasonable period of time.
The successful candidate will be expected to offer and supervise research activities for final theses and doctoral theses. The professorship also entails the acquisition and management of third-party funded projects and close cooperation with the existing BIFOLD research groups.
Further responsibilities include leading and managing the research group and its staff; supporting the advancement of junior scholars, women, and diversity; knowledge and technology transfer; initiatives to promote internationalization; gender and diversity competence and sustainability-oriented action; as well as committee work are expected.
Employer: TU Berlin / BIFOLD
Salary grade: W3 Berliner Hochschulen
Starting date (earliest): January 1, 2026
Closing date: January 12, 2026
Full job posting: IV-520/25