Are you passionate about using Artificial Intelligence to solve high-impact biomedical challenges? The Institute of Medical Informatics at UKM (Universitätsklinikum Münster) is looking for a PhD Student (gn) in Machine Learning* to join Prof. Dominik Heider’s research group.
This role is part of the DFG-funded Collaborative Research Centre 1748, focusing on the “Principles of Reproduction.” You will work at the intersection of computer science and biology, developing innovative algorithms to understand the genetic and molecular mechanisms of life.
What you will do:
- Develop cutting-edge ML methods (Explainability, Interpretability, and Causal Inference).
- Design novel models for large-scale omics data integration.
- Collaborate with an interdisciplinary team of biologists, physicists, and clinicians.
- Participate in a structured PhD training program.
What they are looking for:
- A Master’s degree in Computer Science, Data Science, or Medical Informatics.
- Strong programming skills (Python, R, or C/C++).
- Solid knowledge of statistics and algorithm development.
- Motivation to work in an international, collaborative research environment.
The Perks:
- Full-time position (TV-L E13 salary scale).
- State-of-the-art computing infrastructure.
- 3-year fixed-term contract in a vibrant scientific community.
📅 Application Deadline: February 11, 2026
Interested? View the full details and apply here: https://jobs-sf.ukmuenster.de/job/Universit%C3%A4t-M%C3%BCnster-PhD-Student-%28gn%29-Machine-Learning-Specialist/1283187401/
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