Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging

ETH Zürich; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Restaurant? No explicit perks in text

Zusammenfassung

ETH Zurich's Institute for Biomedical Engineering houses the CMR group, focused on Magnetic Resonance technology to quantify cardiovascular function. The project explores deep inference and digital twinning of the heart using low-field CMR, simulations, measurements, and patient data.

The successful candidate will work with engineers and clinicians to advance time-resolved morphological imaging, develop novel reconstruction and ML‑based analysis, and contribute to real-world diagnostic

Qualifikationen

• A Master of Science in EE / BME / CS or Physics with first-class grades.
• Strong interest in medical imaging physics and data processing.
• Strong programming skills in C, Matlab/Python and ML libraries.
• Independent thinker with data-interpretation skills and teamwork.

Aufgaben

• Design MR pulse sequences and image reconstruction, and fuse data with physics-informed ML for heart imaging.
• Perform numerical simulations, experimental measurements, and volunteer studies.
• Collaborate with clinical partners to populate digital twins and assess diagnostic value of low-field CMR.

Kenntnisse

C programming

Matlab/Python

TensorFlow/PyTorch

Signal processing

Medical imaging physics

Ausbildung

Master's degree in EE/BME/CS/Physics

Jobbeschreibung

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.