PhD Student/Machine Learning Specialist (gn*)Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics | Job ID: 11715We 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 boardThe 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 of the 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, epi /genetics, (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:Developing innovative methods from the field of machine learning for biomedical data, e.g., explainability, interpretability, and causal inferenceContributing to the design of novel algorithms and models for the analysis of large-scale omics datasetsMulti-modal machine learning model development and data integrationParticipating 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 disciplineKnowledge of machine learning, statistics, and algorithm developmentExperience in the analysis of biological data (e.g., omics technologies) is desirableProgramming skills (e.g., Python, R, C/C++)Motivation for scientific work and willingness to contribute to an interdisciplinary teamGood English communication skills (spoken and written); German skills are advantageousWE OFFER:State-of-the-art computing infrastructureCompetitive, interdisciplinary, and international research environment with a track record of intense mutual collaborationStructured PhD-training programme with a wide range of professional development opportunitiesSalary according to tariff agreement, extra annual payment, and company pension plan (VBL)A respectful and appreciative work environment within a diverse teamFor inquiries, please contact: Dominik.Heider@uni-muenster.de, T +49 251 83 58381.Apply now via our career portal by February 11, 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 certificatesTwo letters of recommendation and/or names and contact details of two referencesBENEFITSExciting ProjectsProfessional Development and TrainingInterdisciplinary CollaborationPart of Research InnovationAdditional BenefitsExciting ProjectsProfessional Development and TrainingInterdisciplinary CollaborationPart of Research InnovationAdditional Benefits(*gn=gender neutral)The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them.Questions about how to apply? Click hereEqual opportunities are a part of our Human Resources Policy. UKM supports the compatibility of work and family life and is certified as "Family-friendly Company" since 2010. Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. Due to legal requirements working with us is only permitted with complete vaccination against measles.Universitätsklinikum Münster Albert-Schweitzer-Campus 1, Gebäude D5 48149 Münster www.ukm.de