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Flemming Littrup Andersen

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Just Landed

2 days ago

PhD position in PET/MRI abnormality detection and synthetic PET imaging using deep learning Region Hovedstaden in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD project is fully funded and supported by industry. Salary follows the collective agreement for academic staff within the Capital Region of Denmark.

Deadline

Nov 16, 2026

Country flag

Country

Denmark

University

Region Hovedstaden

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Keywords

Computer Science
Biomedical Engineering
Radiology
Deep Learning
Neuroimaging
Neuropsychology
Medical Science
Magnetic Resonance Imaging
Pet Imaging
Physics

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About this position

This doctoral position is based at Rigshospitalet, in the Department of Clinical Physiology and Nuclear Medicine within the Centre of Diagnostic Investigations. The PhD student will be part of the DEPICT AI and image analysis section and work in an ambitious clinical research environment alongside computer scientists, physicists, and medical doctors.

The project focuses on abnormality detection in PET and MRI using deep learning methods to synthesise PET uptake from non-PET images. The student will work with data from hybrid scanners such as PET/MRI and PET/CT, including multiple PET tracers and novel MR sequences, and will contribute to implementation and validation in clinical brain imaging studies.

The research environment combines technical development, clinical imaging, and support from scanner vendor pre-development sections. The position is linked to a strong supervisory setup with technical, medical, and industrial expertise, and the work will take place in the new facilities of the DEPICT AI section at Rigshospitalet.

The project is associated with the PhD programme at the Faculty of Health, Copenhagen University.

Funding details

The PhD project is fully funded and supported by industry. Salary follows the collective agreement for academic staff within the Capital Region of Denmark.

What's required

A master’s degree in computer science, physics, biomedical engineering or equivalent is required. Applicants should be able to work independently, have very good English including writing, good programming skills in Python, experience with AI development focused on deep learning and images, and strong collaboration skills. Knowledge of medical image data is an advantage, and willingness to travel and flexibility are required.

How to apply

Apply online via the job advert link. Submit a CV and a motivated application detailing relevant coursework, previous research experience, education, and practical skills.

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Professors

Professor at Region Hovedstaden

University Name
Country flag

Denmark

Research Interests

Radiology

Neuropsychology

Neuroimaging

Physics

Pet Imaging