The University of Münster is offering a fully funded PhD position in the research group 'Machine Learning for Biomedical Data' led by Professor Dominik Heider at the Institute of Medical Informatics. This position is part of the DFG-funded Collaborative Research Centre 1748, 'Principles of Reproduction', which brings together scientists from the University, University Hospital, Max Planck Institute Münster, and RWTH Aachen. The CRC 1748 aims to elucidate the genetic, molecular, and cellular mechanisms underlying testis formation, sperm production and function, fertilisation, and early embryonic development in both health and disease.

The successful candidate will join a dynamic, interdisciplinary team focused on developing innovative machine learning methods for biomedical data analysis. Research topics include explainability, interpretability, causal inference, and the design of novel algorithms for large-scale omics datasets. The position also involves multi-modal machine learning model development and data integration, contributing to high-impact biomedical research with clinical relevance.

As part of the Integrated Research Training Group ‘Reproduction.MS PhD-Training Centre in Translational Science’, the PhD student will benefit from a structured training programme, state-of-the-art computing infrastructure, and a collaborative, international research environment. The position is full-time (100%) and fixed-term for three years, with a competitive salary according to the TV-L E13 tariff agreement, extra annual payment, and company pension plan (VBL).

Applicants should hold a Master’s degree in Computer Science, Data Science, Medical Informatics, or a related discipline. Essential skills include knowledge of machine learning, statistics, algorithm development, and programming experience (Python, R, C/C++). Experience with biological data analysis (e.g., omics technologies) is desirable. Candidates must demonstrate high motivation for scientific work, willingness to work in an interdisciplinary team, and excellent English communication skills; German language skills are advantageous but not required.

To apply, submit your application via the University of Münster career portal by February 11, 2026. Required documents include a letter of motivation (max 2 pages), a summary of your Master’s thesis (max 1 page), transcripts and scanned copies of degree certificates, and two letters of recommendation or contact details of two references. For further information, contact Prof. Dominik Heider at [email protected].