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.
Project background
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 is obtained.
Job description
- 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 tissue property 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
Profile
- You holda Master of Science degree with first-class grades in: Electrical engineering, Biomedical engineering, Computer science or 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, to critically interpret data and a drive to innovate are further requirements along with curiosity, open mindedness, team player and communication skills
We offer
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 a full range of 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
We value diversity and sustainability
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting-edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow.
#J-18808-Ljbffr
Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging in Zürich Arbeitgeber: ETH Zürich
ETH Zürich ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, aktiv an der Gestaltung der Zukunft des Forschungsdatenmanagements mitzuwirken. Mit einem interdisziplinären Arbeitsumfeld, attraktiven Beschäftigungsbedingungen und zahlreichen Vorteilen wie Kinderbetreuung und öffentlichen Verkehrsmitteln fördert ETH Zürich nicht nur Ihre berufliche Entwicklung, sondern auch eine inklusive und nachhaltige Unternehmenskultur. Hier haben Sie die Chance, in einer sichtbaren Position mit hoher Verantwortung zu arbeiten und einen bleibenden Einfluss auf die Forschung zu nehmen.
