PhD Position in Radiology
PhD Position in Radiology
Technical University of Munich
The Department of Diagnostic and Interventional Radiology at Klinikum rechts der Isar, Technical University of Munich, is seeking a PhD Student (f/m/d) for multimodal embeddings and fusion architectures for digital patient twins in the EU research project TWIN-X.
Position details
- Position: PhD Student (f/m/d)
- Topic: Multimodal embeddings and fusion architectures for digital patient twins
- Project: TWIN-X, Digital Twins with Generative AI for Explainable Precision Medicine
- Institution: Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich
- Employment: Full-time
- Salary: TV-L E13
- Duration: Fixed-term for 48 months
About TWIN-X
TWIN-X is a European Commission-funded research project under Horizon Europe. The consortium includes 18 partners from 12 European countries.
The project aims to develop digital patient twins by fusing multimodal clinical data into unified and explainable vector representations for clinical decision support in oncology and cardiovascular medicine.
Data modalities include: Radiology, Pathology, Genomics, Laboratory values, Clinical notes.
The position is embedded in the core technical method development of TWIN-X and focuses on multimodal representation learning and the fusion of heterogeneous patient data.
Research focus
The PhD project may include the following areas: Multimodal representation learning, Fusion architectures, Self-supervised and contrastive learning, Explainability and robustness, Clinical validation.
Your responsibilities
- Independent research in multimodal representations and digital patient twins
- Development and implementation of deep learning methods for fusing heterogeneous clinical data
- Publication of research results at international conferences and in peer-reviewed journals
- Collaboration with clinicians, data scientists, and partners across the EU consortium
- Contribution to project deliverables and milestone reports
- Potential supervision of student theses
Your profile
- Master’s degree with very good to excellent grades in Computer Science, Medical Informatics, Physics, Mathematics, Biomedical Engineering, or a related field
- Strong programming skills in Python and experience with deep learning frameworks, preferably PyTorch
- Interest in multimodal AI, representation learning, medical imaging, or natural language processing
- Excellent English skills
- German is a plus but not required
- Self-motivation, teamwork skills, and enthusiasm for interdisciplinary research
Preferred qualifications
- Experience with multimodal models, vision-language models, or foundation models
- Experience with scientific writing and publishing
- Experience with medical datasets or clinical research
We offer
- Remuneration according to TV-L E13, full-time
- Fixed-term position for the project duration of 48 months
- PhD at TUM, one of Europe’s leading technical universities
- Access to extensive clinical datasets and high-performance computing infrastructure, including GPU clusters
- Integration into an international research network with 18 partners
- Opportunity to attend international conferences and workshops
- Flexible working hours and the option for remote work
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