Amsterdam UMC
Closing soon
1 week ago
PhD in AI-based Cardiovascular Image Analysis and Modeling Amsterdam UMC in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 30, 2026
Country
Netherlands
University
Amsterdam UMC

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About this position
PhD opening at Amsterdam UMC in the Netherlands on AI-based cardiovascular image analysis and modeling.
This project sits at the intersection of medical image analysis, generative AI, computational modeling, and cardiovascular engineering. The research aims to improve diagnosis and treatment of coronary artery disease and support clinical decision-making during catheterization procedures.
You will work on probabilistic, patient-specific digital twins of coronary arteries by combining anatomical and hemodynamic information from routine clinical imaging. The post highlights uncertainty-aware 3D reconstruction from 2D X-ray angiography, fast estimation of coronary blood flow and pressure fields, and integration of anatomy, physics, and uncertainty quantification.
The work is embedded in the Quantitative Healthcare Analysis (qurAI) group and carried out in close collaboration with the CARA Lab and clinical partners in the Netherlands and abroad. The project uses large multi-center clinical datasets and focuses on translating advanced computational methods into clinically relevant applications.
Research topics include latent diffusion models, implicit neural representations, flow matching, physics-informed neural networks, graph-based neural operators, hemodynamics, wall shear stress, and uncertainty-aware modeling.
No explicit funding details, stipend amount, or waiver information are stated in the post. Deadline: 30 August 2026. Apply through the AcademicTransfer link.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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