PhD in AI for Cardiovascular Imaging & Hemodynamics

Amsterdam UMC; Amsterdam; On-site; EUR 39,000 - 49,000; Full time

Benefits offered by this job

PhD opportunity

BeFrank pension

Public transport reimbursement

Bike scheme

International collaboration

Job summary

Amsterdam UMC invites a motivated researcher to pursue a PhD focused on improving diagnosis and treatment of coronary artery disease using AI-driven image analysis and blood flow modeling. You will build generative models, physics-informed networks and validation datasets with clinical partners.

You will collaborate with clinicians in the Netherlands and abroad, publish in high-impact journals and present findings at conferences, advancing patient care and scientific understanding.

Qualifications

• MSc in biomedical engineering, applied mathematics, computer science, physics or related field.
• Experience with scientific programming in Python and PyTorch.
• Affinity with medical image analysis and computational modeling.
• Knowledge of neural networks for image analysis, generative modeling or physics-informed ML is a plus.
• Strong collaboration skills and excellent English communication.

Responsibilities

• Develop deep generative models for 3D reconstruction of coronary anatomy from 2D X-ray angiography.
• Develop physics-informed neural networks and graph-based neural operators for 3D hemodynamics estimation.
• Design pipelines combining image-based anatomy, blood flow physics and uncertainty quantification.
• Validate methods on retrospective multi-center datasets with clinical partners.

Skills

Scientific programming

Medical image analysis

Computational modeling

Neural networks for image analysis

Generative modeling

Physics-informed ML

Collaborative skills

English communication

Education

MSc degree in biomedical engineering, applied mathematics, computer science, physics or related discipline

Tools

Python

PyTorch

Job description

Amsterdam UMC invites a motivated researcher to pursue a PhD focused on improving diagnosis and treatment of coronary artery disease using AI-driven image analysis and blood flow modeling. You will build generative models, physics-informed networks and validation datasets with clinical partners.

You will collaborate with clinicians in the Netherlands and abroad, publish in high-impact journals and present findings at conferences, advancing patient care and scientific understanding.