PhD and Postdoc Opportunities in Foundation Models, Graph and Geometric Deep Learning, and Causal Modeling Philipp University of Marburg in Germany

Becker Lab is advertising PhD and postdoc opportunities in foundation models, graph and geometric deep learning, and causal modeling with a strong focus on biomedical applications.

The research themes include real-world impact on immune system modeling, neurodegenerative diseases, and related AI-for-biology problems. The lab highlights an international network of collaborators at Stanford, MIT, McGill, UKE Hamburg, and hessian.AI, suggesting a highly collaborative and interdisciplinary environment.

The positions are associated with Martin Becker, Professor for Knowledge-Centric AI at Philipp University of Marburg and Julius Maximilians University of Würzburg. The post is aimed at ambitious candidates who want to develop their own research ideas and contribute to machine learning methods for biomedical challenges.

Deadline: July 26, 2026. The lab also notes that it welcomes strong project proposals, fellowship applications, and stipend applications, and encourages candidates with their own ideas to get in touch.

How to apply: Follow the job-posting link for full application details. If you have a project idea or want to explore fellowship/stipend support, contact the lab directly.