University of Tübingen
Closing soon
6 days ago
PhD Positions in Quantum Physics and Machine Learning at the University of Tübingen University of Tübingen in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Up to three PhD positions are offered for 3 years at TV-L E13, 75% employment. The post does not specify additional tuition coverage or stipend details beyond the salary-based employment contract.
Deadline
Sep 14, 2026
Country
Germany
University
University of Tübingen

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About this position
Up to three PhD positions are available in the interdisciplinary EXPRESSO project (Extracting Probabilistic Representations in Exponential Quantum Spaces) at the University of Tübingen.
The project sits at the intersection of quantum physics and machine learning, with research topics including probabilistic simulation and inference for quantum gases, simulation-guided model discovery via adaptive amortized inference, and representation learning for optimization in exponential search spaces.
The positions are embedded in the Cluster of Excellence – Machine Learning for Science and involve collaboration across the Institute for Theoretical Physics, the Computer Science Department, and the AI Center.
Funding is via a 3-year TV-L E13 contract at 75% employment. Applicants should have a Master's degree in Physics, Computer Science, Mathematics, or a related field, along with strong mathematical and programming skills. Experience in quantum mechanics, Bayesian methods, or deep learning is considered an advantage.
Supervision is provided by Philipp Hennig, Mario Krenn, Igor Lesanovsky, Jakob Macke, and Georg Martius. Applications are reviewed on a rolling basis, and early applications are encouraged. The review period closes on 14 September 2026.
To apply, upload a CV, a short motivation letter, and the names of two referees via the application form, and indicate your preferred project(s).
Funding details
Up to three PhD positions are offered for 3 years at TV-L E13, 75% employment. The post does not specify additional tuition coverage or stipend details beyond the salary-based employment contract.
What's required
Applicants should hold a Master's degree in Physics, Computer Science, Mathematics, or a related field. Strong mathematical foundations and programming skills are required. Prior experience in quantum mechanics, Bayesian methods, or deep learning is an advantage. Candidates should be committed to interdisciplinary, impactful research and willing to build concrete software artifacts.
How to apply
Prepare a CV, a short motivation letter, and the names of two referees. Submit the application through the linked Google Form and indicate your preferred project(s). Applications are reviewed on a rolling basis, with the review period closing on 14 September 2026.
More information can be found here
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