W3-Professorship in Machine Learning in Physics

Internetchemie; Tübingen; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A prestigious university in Germany is inviting applications for a W3-Professorship in Machine Learning in Physics. The successful candidate will integrate research in physics with machine learning, lead collaborative projects, and contribute to teaching within the Department of Physics and the Master's program in Machine Learning. The position requires a PhD in physics, a strong track record in machine learning research, and qualifications equivalent to a full professorship. Applications must be submitted by 15 February 2026.

Qualifikationen

• PhD or equivalent degree in physics or related field.
• Postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship.
• Established research profile in a core area of physics with a strong track record in machine learning or artificial intelligence research.

Aufgaben

• Integrate research at a Department of Physics research center with machine learning activities.
• Pursue collaborative research projects at the interface of machine learning and physics.
• Commit to organizational and implementation-related tasks within the Excellence Cluster.
• Offer courses within the Department of Physics.
• Contribute to the international Master’s program 'Machine Learning' offered by the Department of Computer Science.

Kenntnisse

Established research profile

Strong track record in machine learning

Postdoctoral qualifications

Teaching experience

Ausbildung

PhD or equivalent degree in physics or related field

Jobbeschreibung

Overview

The Faculty of Science at Tübingen University invites applications for a W3-Professorship in Machine Learning in Physics at the Department of Physics starting as soon as possible.

Research and Teaching

The professorship is embedded within the Excellence Cluster "Machine Learning: New Perspectives for Science" (second funding phase). The successful candidate is expected to have an established research profile in a core area of physics (e.g., condensed matter, quantum physics, theoretical particle physics) and a strong track record in research questions related to machine learning and/or artificial intelligence. The aim is to integrate research at one of the Department of Physics’ research centers (BioNanoPhysics Center, Center for Quantum Science, Kepler Center) with ongoing machine learning research activities in Tübingen. The appointee will actively pursue collaborative projects at the interface of machine learning and physics, commit to organizational tasks within the Excellence Cluster, and contribute to teaching: offering courses within the Department of Physics and the international Master’s program “Machine Learning” by the Department of Computer Science.

Responsibilities

• Integrate research at a Department of Physics research center with machine learning activities.
• Pursue collaborative research projects at the interface of machine learning and physics.
• Commit to organizational and implementation-related tasks within the Excellence Cluster.
• Offer courses within the Department of Physics.
• Contribute to the international Master’s program “Machine Learning” offered by the Department of Computer Science.

Qualifications

• PhD or equivalent degree in physics or related field.
• Postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship.
• Established research profile in a core area of physics with a strong track record in machine learning or artificial intelligence research.

EEO Statement

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.

Additional Information

General information on professorships, hiring processes, and the German academic system can be found at: http://www.ml-in-science.uni-tuebingen.de/. 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 ([e-mail]).