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Marius Pedersen

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PhD Candidate in Colour and Image Enhancement for Wireless Capsule Endoscopy Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 19, 2026

Country flag

Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Biomedical Engineering
Signal Processing
Electrical Engineering
Medical Imaging
Image Processing
Computer Vision
Medical Science
ML

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About this position

NTNU – Norwegian University of Science and Technology is advertising a PhD Candidate position in Colour and Image Enhancement for Wireless Capsule Endoscopy. The project sits at the intersection of medical imaging, image processing, and computational methods for improving visual quality in capsule-based gastrointestinal diagnostics.

The announced position is based in Gjøvik, Norway, and is a temporary full-time PhD opening. The research focus is on developing methods that can enhance colour and image information from wireless capsule endoscopy imagery, supporting better interpretation and analysis of internal gastrointestinal images. This type of work is highly relevant for students interested in biomedical image analysis, computer vision, and applied machine learning in health technology.

Supervisory contact persons listed in the post are Professor Marius Pedersen and Associate Professor Peter Nussbaum. Their contact emails are provided in the advertisement, making it easy to request further information about the research direction and project expectations.

No explicit scholarship/studentship wording or funding details were included in the provided content, so funding status cannot be confirmed from the text excerpt alone. The application deadline is 2026-11-19. Applicants should review the Jobbnorge posting and submit their application through the official application link before the deadline.

This opportunity will likely suit candidates with a strong background in computer science, biomedical engineering, electrical engineering, or closely related areas, especially those with experience or interest in image enhancement, colour processing, medical imaging, or algorithm development.

Funding details

Available

How to apply

Apply through the Jobbnorge application page before the deadline. Use the posting link to submit the required application materials and follow any instructions on the employer’s portal. Contact the listed supervisors if you need academic clarification about the project.

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Professors

Professor at Norwegian University of Science and Technology

University Name
Country flag

Norway

Research Interests

Medical Imaging

Artificial Intelligence

Computer Vision

Computer Science

Medical Science

Associate Professor at Norwegian University of Science and Technology

University Name
Country flag

Norway

Research Interests

Medical Imaging

Statistics

Computer Vision

Image Processing

Medical Science