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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PhD Position in Radiology

Technical University of Munich

Munich, Germany

PhD Position in Radiology

Technical University of Munich

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