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Flemming Littrup Andersen
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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
Denmark
University
Region Hovedstaden
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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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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor at Region Hovedstaden
Denmark
Research Interests
Radiology
Neuropsychology
Neuroimaging
Physics
Pet Imaging
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Prepare your application
Review drafts and confirm requirements with the university.