PhD Student (gn*) Machine Learning

Kennziffer: 11715

Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility – ideally with you on board!

The position is based at the Institute of Medical Informatics within the research group Machine Learning for Biomedical Data led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves scientists of the University, University Hospital, and Max Planck Institute Münster as well as RWTH Aachen. Our central objective is to elucidate the genetic, molecular, and cellular mechanisms governing the formation and function of the testis, production and function of sperm, fertilisation, as well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epigenetics, (bio)informatics, and multimodal data analysis.

The research group of Dominik Heider focuses on machine learning and data‑driven methods for addressing biomedical questions of high clinical relevance, with an emphasis on innovative approaches to complex disease processes and large‑scale omics data analysis.

Responsibilities

• Develop innovative methods from the field of machine learning for biomedical data, e.g., explainability, interpretability, and causal inference.
• Contribute to the design of novel algorithms and models for the analysis of large‑scale omics datasets.
• Develop multi‑modal machine learning models and data integration.
• Participate in the Integrated Research Training Group "Reproduction.MS PhD‑Training Centre in Translational Science".

Requirements

• Master’s degree in Computer Science, Data Science, Medical Informatics, or a related discipline.
• Knowledge of machine learning, statistics, and algorithm development.
• Experience in the analysis of biological data (e.g., omics technologies) is desirable.
• Programming skills (e.g., Python, R, C/C++).
• Motivation for scientific work and willingness to contribute to an interdisciplinary team.
• Good English communication skills (spoken and written); German skills are advantageous.

We Offer

• State‑of‑the‑art computing infrastructure.
• Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration.
• Structured PhD‑training programme with a wide range of professional development opportunities.
• Salary according to tariff agreement, extra annual payment, and company pension plan (VBL).
• A respectful and appreciative work environment within a diverse team.

For inquiries, please contact: , T

Apply now via our career portal by 11 February 2026.

Please Include

• Letter of motivation (max 2 pages).
• Summary of your Master’s thesis (max 1 page).
• Transcript and scanned copies of your degree certificates.
• Two letters of recommendation and/or names and contact details of two references.

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Kontaktinformation:
Universitätsklinikum Münster
Albert‑Schweitzer‑Campus 1
48149 Münster