PhD in Physics-Informed Generative AI for Dynamic Cardiac MRI

Eindhoven University of Technology is offering a four-year PhD position focused on creating physics-informed generative AI models for cardiac MRI. Part of the PRIMA-CMR collaborative project within the EuroTech Universities Alliance, the research aims to recover diagnostic information from low-dose scans while quantifying uncertainty for clinical validation. The successful candidate will spend six months visiting the Technical University of Munich and will split their time between algorithmic development, clinical validation, and teaching duties. Applicants are expected to hold a relevant master's degree and bring strong programming skills in Python and PyTorch.

• Develop novel generative AI architectures designed to reconstruct trustworthy diagnostic data from low-dose cardiac MRI scans.
• Integrate MRI physics, inverse problems, and clinical patient data into machine learning models.
• Implement robust uncertainty quantification methods to ensure model reliability for clinical interpretation.
• Collaborate with international academic partners and clinical teams to validate models on real-world clinical data.
• Participate in a six-month research stay at the Technical University of Munich.
• Contribute 10% to 15% of working time to teaching tasks and mentoring students.
• Publish research findings in peer-reviewed journals and present work at international conferences.