PhD in Physics-informed generative AI for dynamic cardiac MRI
Visa sponsorship offered
Core
Develop trustworthy generative AI methods to recover diagnostic information from low-dose cardiac MRI, combining MR imaging physics, patient-specific clinical data, and uncertainty quantification.
Role type
PhD researcher (Medical Image Analysis)
Builds
Production-ready AI models for low-dose cardiac MRI reconstruction
Domain
Biomedical engineering, Medical imaging, Cardiovascular disease
Deliverable
production ML models
Required skills
Deep learning, Generative models, Python, PyTorch, MR imaging physics, Inverse problems, Uncertainty quantification
Preferred skills
Physics-based modeling, Clinical data validation
Responsibilities
Develop new generative AI methods, Validate methods on real clinical data with partners, Teach and coach students
Seniority
PhD candidate (Researcher)