Summary
Ludwig-Maximilians-Universität München (LMU) is offering a PhD scholarship for a highly motivated candidate in Clinical AI and Medical Data Science. This full-time position is based at the Institute of Pathology, Faculty of Medicine, and involves cutting-edge research in applying AI methods to large-scale clinical data for personalized oncology.
Designation
PhD Candidate – Clinical AI and Medical Data Science (m/f/x)
Scholarship Details
| Institution | Ludwig-Maximilians-Universität München (LMU) |
|---|---|
| Faculty / Institute | Faculty of Medicine – Institute of Pathology |
| Remuneration Group | TV-L E13 |
| Employment Type | Full-time (100%), part-time possible |
| Start Date | As soon as possible |
Research Area
- Processing, harmonization, and analysis of heterogeneous clinical and longitudinal datasets.
- Development of reproducible data processing and machine learning pipelines.
- Development and evaluation of machine learning, transformer, and LLM-based methods.
- Application of survival and predictive modeling to clinical outcomes.
- Evaluation of model performance, interpretability, and generalizability across datasets.
- Collaboration with clinical and methodological experts.
- Dissemination of results through scientific publications and presentations.
Location
Munich, Germany
Eligibility/Qualification
Required Qualifications:
- Master’s degree or equivalent in Data Science, Computer Science, Medical Informatics, Bioinformatics, Statistics, Artificial Intelligence, or a related field.
- Strong programming skills in Python and PyTorch.
- Experience in several of the following areas:
- Machine learning and deep learning
- Longitudinal or time-series data
- Large language models or natural language processing
- Transformer architectures and representation learning
- Clinical or biomedical data analysis
- Survival analysis and statistical modeling
- Strong analytical and problem-solving skills.
- Ability to work independently and in an interdisciplinary team.
- Excellent written and spoken English.
- Strong motivation, scientific curiosity, and persistence, with the ability to independently tackle complex and challenging problems.
Scholarship Description
This PhD scholarship offers an exciting opportunity to work at the forefront of clinical AI and personalized oncology. The successful candidate will engage with emerging AI methods and their application to large-scale real-world clinical data. Benefits include access to extensive clinical datasets and modern computational infrastructure, close collaboration with interdisciplinary experts, and a broad environment to develop expertise across the full clinical AI spectrum. The position provides opportunities to publish in leading scientific venues, present at international conferences, and pursue professional development to become a well-rounded expert in clinical AI and medical data science. Salary is according to TV-L E13, subject to institutional regulations.
How to Apply
Please submit your detailed application materials in German or English in electronic form (as a single PDF file no larger than 10 MB). Include links to any publications. Ensure you cite job posting number DM-09/1-2026.
Last Date for Apply
October 2, 2026
Apply Link
Applications should be sent via email to: Philippgerrit.Keyl@med.uni-muenchen.de
For further information, you may contact:
Dr. Philipp Keyl
Pathologisches Institut der Medizinischen Fakultät der LMU München
Thalkirchner Straße 36
80337 München
