Sebastian Kozerke

ETH Zurich is offering a doctoral position in lower-field cardiac magnetic resonance imaging within the Cardiovascular Magnetic Resonance (CMR) group at the Institute for Biomedical Engineering. The project focuses on advanced MR pulse sequence design, image reconstruction, data inference, and data fusion using classical and physics-informed machine learning methods. The research aims to improve time-resolved morphological imaging and tissue property imaging of the heart, building on the group’s work showing that high-performance clinical MR systems can be ramped down to lower static magnetic field strengths while still producing excellent image quality. The project also explores stacked and concurrent imaging of electric and magnetic sources in the heart, with applications in deep inference and digital twinning. The work will involve numerical simulations, experimental measurements, and volunteer studies, and will be carried out together with the team and clinical partners. Example patient data will be collected to help populate digital twins and demonstrate the diagnostic value of lower-field deep CMR imaging. ETH Zurich describes the group as a dynamic, international team with strong experience in CMR research and access to first-class infrastructure, including experimental and clinical MR systems dedicated to research, local and cloud-based CPU/GPU computing, and workshops for mechanical, electrical, and electronic development projects. The group also benefits from long-standing collaborations with industry and clinical partners in cardiology and radiology. Eligibility highlights include a Master of Science degree with first-class grades in Electrical Engineering, Biomedical Engineering, Computer Science, or Physics; strong programming ability; and a keen interest in medical imaging physics and signal/data processing. Applications must be submitted online and include a motivation letter, CV, study subjects with grades, and two referee contacts. The application deadline is not specified in the posting. Supervisor contact: Prof. Dr. Sebastian Kozerke ([email protected]). Questions about the position should be directed to him, but applications must not be sent by email.