Summary
Ludwig-Maximilians-Universität München (LMU) is offering a PhD position in Clinical AI and Medical Data Science. This full-time role, based at the Institute of Pathology, involves processing and analyzing clinical datasets, developing machine learning pipelines, and applying advanced AI methods to clinical outcomes. The successful candidate will work at the forefront of clinical AI and personalized oncology, collaborating with experts and contributing to scientific publications.
PhD Candidate – Clinical AI and Medical Data Science at Ludwig-Maximilians-Universität München
Designation
PhD Candidate – Clinical AI and Medical Data Science (m/f/x)
Scholarship Details
| Institution | Faculty/Institute | Remuneration Group | Employment Type | Start Date |
|---|---|---|---|---|
| Ludwig-Maximilians-Universität München | Faculty of Medicine – Pathologisches Institut der LMU | TV-L E13 | Full-time (100%) | 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.
Benefits:
- A PhD project at the leading edge of clinical AI and personalized oncology.
- Access to large-scale clinical datasets and modern computational infrastructure.
- Close collaboration with AI researchers, clinicians, and methodological experts.
- A broad interdisciplinary environment to develop expertise across the full clinical AI spectrum.
- Opportunities to publish in leading scientific venues and present at international conferences.
- Salary according to TV-L E13.
- Preferential consideration for applicants with severe disabilities if equally qualified.
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; please provide links to any publications) to the contact email provided below. Please cite job posting number DM-09/1-2026.
Contact:
Dr. Philipp Keyl
Pathologisches Institut der Medizinischen Fakultät der LMU München
Thalkirchner Straße 36
80337 München
Email: Philippgerrit.Keyl@med.uni-muenchen.de
Applicants are advised to refer to the LMU Privacy Policy regarding the processing of personal information during the application process.
Last Date for Apply
October 2, 2026
Apply Link
Please apply via email: Philippgerrit.Keyl@med.uni-muenchen.de
