PhD Candidate: AI-Driven Medical Imaging & MRI Research

Radiograf MR; Trondheim; Vor Ort; NOK 496.000 - 606.000; Vollzeit

Benefits dieser Stelle

Mentor programme

SPK pension plan

Free Norwegian language training (A2)

Career guidance and follow-up duringPh

Open and inclusive working environment

Zusammenfassung

NTNU is seeking a PhD Candidate in the MRI Physics Group, Department of Physics, to pursue an interdisciplinary project on INR-based reconstruction for MR imaging. The successful candidate will work toward a doctoral degree while gaining research experience in neuroscience and medical imaging.

The project involves functional MRI of the spinal cord at a 7 Tesla system and collaboration across physics groups. You will publish findings and contribute to teaching activities.

Qualifikationen

• You must have a relevant Master’s degree in physics, mathematics, biomedical engineering, computer science or equivalent.
• Master's degree must be obtained before starting the position (by 31 August 2027).
• Good oral and written presentation skills in English and good programming skills.

Aufgaben

• Simulate MRI data and model disturbances arising from various 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 written form through academic publications.
• Present research findings orally at international conferences.
• Assist with teaching activities.

Kenntnisse

Programming skills

English proficiency

Ausbildung

Master's degree (5-year Norwegian program) in physics / mathematics / biomedical engineering / computer science

Tools

Linux systems

High Performance Computing

Machine learning

Jobbeschreibung

NTNU is seeking a PhD Candidate in the MRI Physics Group, Department of Physics, to pursue an interdisciplinary project on INR-based reconstruction for MR imaging. The successful candidate will work toward a doctoral degree while gaining research experience in neuroscience and medical imaging.

The project involves functional MRI of the spinal cord at a 7 Tesla system and collaboration across physics groups. You will publish findings and contribute to teaching activities.