PhD in Lower-Field Cardiac MRI & Deep Learning

Eidgenössische Technische Hochschule Zürich; Zürich; Vor Ort; CHF 50.000 - 60.000; Vollzeit

Zusammenfassung

ETH Zurich invites applications for a Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging within the CMR group of the Institute for Biomedical Engineering. The project focuses on ramping down high-performance clinical MR systems to lower fields, enabling advanced imaging and deep learning-based inference for heart tissue properties.

The candidate will work on MR pulse sequence design, image reconstruction, and data fusion using physics-informed ML, including numerical

Qualifikationen

• Master's degree with top grades in a technical field (EE, BME, CS or Physics).
• Strong interest in medical imaging physics, signal and data processing.
• Very good programming skills and enthusiasm for both theory and practical work.

Aufgaben

• Design MR pulse sequences and image reconstruction methods.
• Perform data inference and fusion using classical and physics-informed ML approaches.
• Collaborate with clinical partners to obtain example data for digital twins and diagnostic insights.

Kenntnisse

C programming

Python

TensorFlow

PyTorch

Ausbildung

Master's degree in Electrical Engineering, Biomedical Engineering, Computer Science or Physics

Tools

MATLAB

TensorFlow

PyTorch

Jobbeschreibung

ETH Zurich invites applications for a Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging within the CMR group of the Institute for Biomedical Engineering. The project focuses on ramping down high-performance clinical MR systems to lower fields, enabling advanced imaging and deep learning-based inference for heart tissue properties.

The candidate will work on MR pulse sequence design, image reconstruction, and data fusion using physics-informed ML, including numerical