Are you excited about earth systems modelling, climate research, and machine learning? Join us as a

Postdoctoral Researcher

in machine learning for earth systems modelling

within the AI4PEX (ai4pex.org) project (m/w/d; E13 TV-L, 100%).

University of Tübingen, Department of Computer Science
 

We seek a highly qualified researcher to advance earth-systems modelling with machine learning to start at the earliest possible date. The overarching goal of the project is to improve earth-systems models by combining process-based models with machine learning methods. Directions of interest are to learn equations, laws, and dynamic representations from data using methods such as symbolic regression, physics-aware models, explainable, and causal ML models.

The project is jointly supervised by Georg Martius, a machine learning and robotics researcher, and Nuno Carvalhais, an earth-systems scientist (MPI-BGC Jena). 

Your profile

Applicants should hold a PhD in computer science, physics, mathematics, environmental sciences, or related fields. Expertise in machine learning and computational modeling is required. The position is fixed-term (2.0 years), with a salary according to the German public sector (100%, E13 TV-L).

Research environment

Tübingen is a leading international hub for machine learning. You will work in a lively, collaborative environment with close ties to the Cluster of Excellence “Machine Learning: New Perspectives for Science” at the University of Tübingen (www.ml-in-science.uni-tuebingen.de), the  Tübingen AI Center, and the Max Planck Institute for Biogeochemisty. Also on campus are the Max Planck Institute for Intelligent Systems and the Ellis Institute.

Please fill out the following form (https://forms.gle/Hhhm1JHn6p7ARmXq6) and upload the usual documents (cover letter, curriculum vitae, copies of certificates, list of publications, 2-3 names of referees) together with a 1 page summary of your research achievements by February 04, 2026. If you have any questions, reach out to Georg Martius.

The university aims to increase the proportion of women in research and therefore urges suitably qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Disabled persons with equal aptitude will be given preferential consideration. Staffing will be conducted by the central administration of the University of Tübingen.