Summary
The Technical University of Munich is offering a fully funded PhD position in the field of Artificial Intelligence and Medical Informatics. The position is part of the xMDT-HPB project, aimed at developing an explainable multimodal AI system to enhance treatment decisions for patients with hepato-pancreato-biliary cancers.
PhD Position in Computer Science, Max-Weber-Platz, Munich, Germany
Designation
PhD Position in Computer Science (f/m/d) – Institute for AI and Informatics in Medicine (AIIM)
Research Area
- Artificial Intelligence
- Medical Informatics
- Precision Oncology
Location
Max-Weber-Platz, Munich, Germany
Eligibility/Qualification
- Degree: Completed academic university degree at master’s level in:
- Computer Science
- Medical Informatics
- Data Science
- Bioinformatics
- Computational Science
- Languages: Good written and spoken English; German at least C1 level for clinical collaboration.
- Skills:
- Solid programming skills in Python
- Initial experience with machine learning frameworks (e.g., PyTorch, TensorFlow)
- Initial practical experience in machine learning, data analysis, or medical data processing
- Approach: Structured and learning-oriented, strong in teamwork
Job Description
You will work within an interdisciplinary team and your primary responsibilities will include:
- Conducting PhD research in the xMDT-HPB project
- Familiarizing yourself with clinical data and relevant standards (MII / FHIR)
- Designing, implementing, and documenting research prototypes
- Developing and evaluating methods for explainable, multimodal AI systems
- Building and maintaining reproducible experiments and analyses
- Collaborating with clinicians and software engineers
- Preparing research findings for publications and conferences
- Contributing to open-source software and technical documentation
How to Apply
Please send a single PDF application to Dr. Felix Busch at felix.busch@tum.de, including:
- Motivation letter
- Curriculum vitae
- Certificates and transcripts of your bachelor’s and master’s degrees
- Overview of previous programming or machine learning projects
- List of publications, if available
- Contact details of two academic references
Last Date for Application
Applications will be reviewed on a rolling basis until the position is filled.
This opportunity is particularly suitable for candidates interested in contributing to impactful research at the intersection of AI, medical informatics, and clinical care.
