W3-Professorship in Machine Learning in Physics

Loading

« All

W3-Professorship in Machine Learning in Physics

18th December 2025 - 16th February 2026

The professorship is embedded within the Excellence Cluster “Machine Learning: New Perspectives for
Science”, which is now entering its second funding phase. The successful candidate is expected to have an
established research profile in a core area of physics, as well as a strong track record in research questions
related to machine learning and/or artificial intelligence.

Core areas of physics include the structure of condensed matter (description of many-body systems), quantum
physics (characterization of quantum states in many-body systems), and theoretical particle physics. In all of
these areas, methodological development through machine learning is taking place — for example, in predicting
the evolution of complex molecular systems over long timescales, investigating quantum mechanical effects in
information processing within (quantum) neural networks, or in elementary particle physics at high-energy
accelerators.

The aim of the professorship is to closely integrate research at one of the Department of Physics’ research
centers (BioNanoPhysics Center, Center for Quantum Science, or Kepler Center) with ongoing machine
learning research activities in Tübingen. The appointee is expected to be actively involved in the Department
of Physics and in the Excellence Cluster, inter alia by pursuing collaborative research projects at the interface
of machine learning and physics, as well as by committing to organizational and implementation-related tasks
within the Excellence Cluster. Further information about the Excellence Cluster can be found at: http://www.ml-in-science.uni-tuebingen.de/

In terms of teaching, the professorship is expected to offer courses within the Department of Physics and also
contribute to the international Master’s program “Machine Learning” offered by the Department of Computer
Science.

Required qualifications include a PhD or equivalent degree as well as postdoctoral qualifications and teaching
experience equivalent to the requirements of a full professorship.

The University of Tübingen is committed to equity and diversity and actively promotes equal opportunities.
Female academics, in particular, are explicitly invited to apply, as are applicants from outside Germany.
Applications from equally qualified candidates with disabilities will be given preference.

General information on professorships, hiring processes, and the German academic system can be found here:
https://uni-tuebingen.de/en/213700

Please submit your full application through the application site of the University of Tübingen at
https://berufungen.uni-tuebingen.de by 15 February 2026. Questions concerning the call for applications and
the application portal can be directed to the Dean of the Faculty of Science at the University of Tübingen,
Professor Dr. Thilo Stehle (career@mnf.uni-tuebingen.de).

Research Gate

Details

Start:
December 18 @ 8:00 am
End:
16th February 2026 @ 5:00 pm
Category:
Research Gate