Ludwig Maximilian University of Munich
Just Landed
2 days ago
PhD in Clinical AI and Medical Data Science at LMU Munich Ludwig Maximilian University of Munich in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Salary according to TV-L E13; full-time or part-time possible.
Deadline
Oct 2, 2026
Country
Germany
University
Ludwig Maximilian University of Munich

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD opening at Ludwig Maximilian University of Munich, Medical Faculty / Pathologisches Institut, with Dr. Philipp Keyl. The project is in Clinical AI and Medical Data Science, focusing on processing and harmonizing heterogeneous clinical and longitudinal datasets and developing ML-based methods for clinical outcomes.
Research topics include machine learning, deep learning, transformer architectures, LLMs, NLP, survival analysis, and predictive modeling in a personalized oncology setting. This is a strong fit for applicants with a background in Computer Science, Medical Informatics, Bioinformatics, Statistics, AI, or related fields.
Required skills include strong Python and PyTorch experience, plus prior work with time-series data, clinical/biomedical data analysis, or survival modeling. The position is based in Munich, Germany.
Funding is provided as TV-L E13, with the option of full-time or part-time employment. The deadline is 2026-10-02.
To apply, send a single PDF (max 10 MB) to [email protected] and include the job posting number DM-09/1-2026. The official posting is available via the LMU job portal.
Funding details
Salary according to TV-L E13; full-time or part-time possible.
What's required
Master's degree in Data Science, Computer Science, Medical Informatics, Bioinformatics, Statistics, AI, or a related field. Strong Python and PyTorch skills are required, along with experience in machine learning/deep learning, time-series data, NLP/LLMs, transformer architectures, clinical/biomedical data analysis, or survival analysis.
How to apply
Send a single PDF application (max 10 MB) by email to [email protected] and cite job posting number DM-09/1-2026. Use the LMU job portal link for the official posting.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.