PhD in Low-Field Cardiac MRI & Deep Inference

ETH Zürich; Zürich; Vor Ort; CHF 100.000 - 140.000; Vollzeit

Zusammenfassung

ETH Zurich's CMR group at the Institute for Biomedical Engineering seeks a Master’s-level researcher to advance MR pulse sequence design, reconstruction, and data inference for time-resolved heart imaging.

You will perform simulations and volunteer-based experiments, contributing to digital twins with clinical partners to show diagnostic value of low-field deep CMR imaging. This role blends physics, engineering and computing in a collaborative, international team.

Qualifikationen

• Master of Science in Electrical Engineering, Biomedical Engineering, Computer Science or Physics with top grades.
• Strong interest in medical imaging physics and signal processing.
• Excellent programming skills in C, MATLAB/Python and ML frameworks (TensorFlow/PyTorch).

Aufgaben

• Design MR pulse sequences and image reconstruction methods.
• Perform numerical simulations and experimental measurements on volunteers.
• Collaborate with clinical partners to develop digital twins and demonstrate diagnostic value of low-field CMR imaging.

Kenntnisse

Programming

Imaging physics

Data processing

Ausbildung

Master of Science (Electrical/Biomedical/CS/Physics)

Tools

C

MATLAB

Python

TensorFlow

PyTorch

Jobbeschreibung

ETH Zurich's CMR group at the Institute for Biomedical Engineering seeks a Master’s-level researcher to advance MR pulse sequence design, reconstruction, and data inference for time-resolved heart imaging.

You will perform simulations and volunteer-based experiments, contributing to digital twins with clinical partners to show diagnostic value of low-field deep CMR imaging. This role blends physics, engineering and computing in a collaborative, international team.