PhD Position in Lower-Field Cardiac Magnetic Resonance Imaging

The CMR group at the Institute for Biomedical Engineering develops Magnetic Resonance (MR) technology and methods to assess the cardiovascular system. We devise the next generation of diagnostic tools for quantification of blood flow, organ perfusion, metabolism and function, tissue composition, microstructure and mechanics. The group exploits principles from physics, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients.

The project is based on previous and ongoing work of the group demonstrating benefits of ramping down high-performance clinical MR systems to lower static magnetic field strengths. In conjunction with advanced MR pulse sequence design and image reconstruction approaches, excellent image quality is achievable. Moreover, given the lower static field, options to stacked and concurrent imaging of electric and magnetic sources in the heart become possible. To this end, data for deep inference and digital twinning of the heart can be obtained.

The position concerns MR pulse sequence design and image reconstruction, data inference and fusion using classical and physics-informed machine learning approaches to advance time-resolved morphological and functional imaging of the heart. The work will involve numerical simulations, experimental measurements and applications on volunteers. Together with the team and clinical partners, example data in patients will be obtained to populate digital twins and to indicate the diagnostic value of lower-field deep CMR imaging.

You hold a Master of Science degree with first-class grades in:

• electrical engineering
• biomedical engineering
• computer science
• physics

You have developed a keen interest in medical imaging physics, signal and data processing. Very good programming skills (C, Matlab/Python, TensorFlow/PyTorch) and a passion for both theoretical and practical work are a premise. The ability to develop own lines of thought, critically interpret data and a drive to innovate are further requirements along with curiosity, open mindedness, team player and communication skills.

We are a dynamic and international team embedded in both electrical engineering and the medical faculty, with a long-standing track record in CMR research. First-class infrastructure is available, including experimental and clinical MR systems fully dedicated to research, state-of-the-art local and scalable cloud-based compute infrastructure (CPU, GPU) and workshops for mechanical, electrical and electronic development projects. Long-standing and very successful cooperations with industry and clinical partners (cardiology, radiology) offer opportunities for networking as well as for deployment of research results in real-world applications.

Working, teaching and research at ETH Zurich
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We look forward to receiving your online application including:

• motivation letter
• detailed CV
• study subjects including grades and
• contact information of two referees

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information about the position and the group please contact Prof Dr Sebastian Kozerke by e-mail: Write an email (no applications) or visit our website .

Apply online now

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