Publisher
source

Technical University of Munich

Top university

PhD in Foundation Models and Digital Patient Twins for Precision Medicine at Technical University of Munich Technical University of Munich in Germany

Degree Level

PhD

Field of study

Oncology

Funding

Full-time TV-L E13 PhD position for 48 months. Includes access to large-scale multimodal clinical datasets, high-end GPU infrastructure, conference travel, workshops, and short research stays at partner institutions. The post is funded through the TWIN-X Horizon Europe consortium.

Deadline

Expired

Country flag

Country

Germany

University

Technical University of Munich

Suggested positions

Publisher
source

University of New South Wales

Country flag

Australia

PhD opportunity at the University of New South Wales (UNSW Sydney) in Equitable Cardiovascular Risk Prediction Through Personalised Blood Flow Modelling . This project sits at the intersection of biomedical engineering , cardiology , mechanical engineering , computer science , mathematics/statistics , and medical science . The research will combine coronary CT imaging , rapid blood flow modelling , machine learning , and clinical outcome data to develop next-generation personalised cardiovascula...

Computer Science
Biomedical Engineering
Mechanical Engineering
+7 more

1 month ago

Publisher
source

Max Planck Institute for Biological Intelligence

Country flag

Germany

The Max Planck School of Biomedical Artificial Intelligence in Germany is offering 25 fully funded PhD positions focused on developing artificial intelligence and computational methods for biomedical and life-science research. The three-year PhD programme is conducted through the Max Planck Society, participating universities, and research institutions across Germany. Students will benefit from dual supervision, interdisciplinary training, conference funding, mentoring, and access to advanced re...

Computer Science
Biomedical Engineering
Biology
+6 more

4 days ago

Publisher
source

Helmholtz Munich

Country flag

Germany

Funded PhD opportunity in Computational Imaging Mass Spectrometry at Helmholtz Munich , Germany, within the Research Unit Analytical Pathology . The project sits at the intersection of bioinformatics , computational biology , data science , computer science , biostatistics , mathematics , physics , and biomedical engineering , with a strong emphasis on programming , statistics , machine learning , image analysis , and spatial data analysis . Eligibility highlights: applicants should have a Maste...

Computer Science
Data Science
Biomedical Engineering
+10 more

2 weeks ago

Publisher
source

Harvard Medical School

Country flag

United States

Harvard Medical School is advertising a Postdoctoral Fellow position in the Zitnik Lab in Boston, Massachusetts, focused on Artificial Intelligence for Medicine and Science . The fellowship centers on generative AI , multimodal learning , agentic AI , foundation models , geometric deep learning , large-scale knowledge graphs , and large language models . Fellows will work on methods and applications aimed at scientific discovery and precision medicine . Applicants should have a Ph.D. or M.D./Ph....

Computer Science
Biomedical Engineering
Deep Learning
+6 more

1 month ago

Publisher
source

Max Planck Institute for Biological Intelligence

Country flag

Germany

25 PhD opportunities are available at the Max Planck School of Biomedical Artificial Intelligence (BMAI) across Germany. The program sits at the intersection of artificial intelligence and the life sciences , bringing together more than 30 participating research groups from universities and research institutions. Doctoral researchers will work on computational and AI methods for biomedical research, with topics spanning molecular and cellular systems, protein and molecule design, complex biologi...

Computer Science
Biomedical Engineering
Electrical Engineering
+7 more

4 weeks ago

Keywords

Oncology
Computer Science
Biomedical Engineering
Cardiology
Deep Learning
Mathematics
Precision Medicine
Medical Science
Clinical Data
Statistics
Physics

About this position

Technical University of Munich / TUM University Hospital is hiring a PhD student for research on foundation models and digital patient twins in oncology and cardiovascular medicine.

The position is embedded in TWIN-X, a Horizon Europe consortium with 18 European partners. The project works with large-scale multimodal clinical data, including radiology, pathology, genomics, laboratory values, clinical notes, and longitudinal patient trajectories from several thousand patients.

Research topics include multimodal and longitudinal patient modelling, representation learning, self-supervised and contrastive pretraining, masked modelling, generative objectives, cross-attention models, mixture-of-experts systems, temporal transformers, and JEPA-style models. Own research ideas are strongly encouraged.

The role offers full-time TV-L E13 funding for 48 months, access to high-end GPU infrastructure (including H100, H200, and B300 servers), large-scale storage, conference travel, workshops, and short research stays at partner institutions across Europe.

Eligibility highlights: a strong Master's degree in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field; excellent quantitative background; strong Python and deep learning skills (preferably PyTorch); and solid foundations in machine learning, statistics, linear algebra, and model evaluation. Excellent English is required; German and prior medical AI experience are helpful but not mandatory.

Supervision is provided in the medical AI environment of TUM University Hospital and the Department of Diagnostic and Interventional Radiology, with Prof. Dr. Lisa Adams, PD Dr. med. Keno Bressem, and Dr. rer. nat. Cosmin I. Bercea involved.

To apply, email your materials to [email protected] and include a cover letter, CV, complete Bachelor and Master transcripts, degree certificates, and optional publication/code/reference materials. Applications without complete transcripts cannot be fully assessed.

Funding details

Full-time TV-L E13 PhD position for 48 months. Includes access to large-scale multimodal clinical datasets, high-end GPU infrastructure, conference travel, workshops, and short research stays at partner institutions. The post is funded through the TWIN-X Horizon Europe consortium.

What's required

Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field; very strong undergraduate and graduate record, especially in quantitative subjects; strong Python skills and experience with deep learning frameworks, preferably PyTorch; solid foundations in machine learning, statistics, linear algebra, and model evaluation; interest in foundation models, representation learning, multimodal learning, generative AI, or longitudinal modelling; ability to work independently and learn difficult methods quickly; excellent English skills. German and prior experience in medical AI are helpful but not required.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Professor of Radiology, Deputy Director Radiology

University Name
Country flag

Germany

Research Interests

Cardiology

Statistics

Biomedical Engineering

Physics

Mathematics