Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging

1000scholars; Zürich; On-site; CHF 60,000 - 80,000; Full time

Job summary

ETH Zurich's CMR group invites applications for a Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging in Zurich. You will work on MR pulse sequence design, image reconstruction, and data inference to advance time-resolved heart imaging.

The role includes simulations, experimental measurements on volunteers, and collaboration with clinical partners to develop digital twins and assess diagnostic value of low-field CMR imaging. Master’s in a relevant field is required.

Qualifications

• Master of Science degree in EE/BME/CS/Physics with top grades.
• Strong interest in medical imaging physics and signal processing.
• Excellent programming skills in C, MATLAB/Python, TensorFlow/PyTorch; both theory and practice welcomed.
• Ability to think critically, communicate well, and work in a team.

Responsibilities

• Design MR pulse sequences and image reconstruction methods.
• Perform data inference and fusion using physics-informed ML approaches.
• Carry out simulations and measurements on volunteers; work with clinical partners.

Skills

C programming

Python

Matlab

TensorFlow

PyTorch

data processing

medical imaging physics

Education

MS in Electrical Engineering/ Biomedical Eng/ CS/ Physics

Tools

MATLAB

Python

TensorFlow

PyTorch

Job description

Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging

100%, Zurich, fixed-term

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 hold a 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.

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.

Curious? So are we.

Further information can be found on our Website. Questions regarding the position should be directed to Prof. Dr. Sebastian Kozerke, [e-mail] (no applications).

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting‑edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.