AI-Driven Medical MRI Imaging PhD Candidate

Arbeidsplassen; Trondheim; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

Free Norwegian language training (A2)

Open and inclusive working environment

International research environment

Job summary

NTNU is offering a 100% PhD position in the MRI Physics Group within the Department of Physics. The project focuses on AI-assisted MRI reconstruction using INR to compensate field inhomogeneities, starting with spinal cord fMRI on a 7T system in Trondheim.

The candidate will work toward a doctoral degree, publish findings, and participate in teaching activities as part of a close collaboration between groups. Fluency in English is required.

Qualifications

• Requires Master's degree in physics, mathematics, biomedical engineering, CS or equivalent.
• Master's degree must be documented before starting (by Aug 31, 2027).
• Strong academic record; average grade of B or better on NTNU scale.
• Admission to PhD programme in Physics or Biophysics or Medical Technology.
• Excellent English oral and written skills.

Responsibilities

• Simulate MRI data and model disturbances from physical sources.
• Develop, implement and train INR models for MRI time-series data.
• Analyze functional MRI data of the spinal cord.
• Present research findings in academic publications.
• Present research findings at international conferences.
• Assist with teaching activities.

Skills

Machine learning

MR physics basics

Signal processing

Linux HPC

Norwegian language (adv)

Education

Master's degree in physics, mathematics, biomedical engineering, CS or equivalent

Job description

NTNU is offering a 100% PhD position in the MRI Physics Group within the Department of Physics. The project focuses on AI-assisted MRI reconstruction using INR to compensate field inhomogeneities, starting with spinal cord fMRI on a 7T system in Trondheim.

The candidate will work toward a doctoral degree, publish findings, and participate in teaching activities as part of a close collaboration between groups. Fluency in English is required.