AI for Scientific Discovery in Physics
The University of Tübingen builds artificial intelligence systems for discovering new concepts, experiments and ideas in physics, offering several fully-funded open Post-Doc positions.
A list of concrete potential projects:
- Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new physics experiments (example here)
- Developing and testing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces motivated by physics and chemistry
- Agentic frameworks (e.g. LLMs with tool-use) for closed-loop idea generation for physics (example here)
Other projects are certainly possible too. In general, they believe that building autonomous scientific systems is not just a technical question, but requires understanding and insights from the philosophy of science – see e.g. here.
If you are excited to use artificial intelligence techniques for scientific discoveries in physics, send us your application, including a CV, a short motivation letter, the names & contact of two potential references to mario.krenn@uni-tuebingen.de.
The opening will remain valid until 28.10.2025 (unless filled before).
