PhD Monitor
/Detail
Computer Science● Open★ EU-FUNDEDPreview

PhD Candidate in Colour and Image Enhancement for Wireless Capsule Endoscopy

Join an EU-funded Marie Skłodowska-Curie Actions Doctoral Network to advance wireless capsule endoscopy using computer vision and colour science.

Best for:Best for computer science or imaging science graduates with strong programming skills and an interest in medical imaging and colour science.

NTNU - Norwegian University of Science and Technology · Trondheim, Norway · R1 · First-stage researcher
More professors at NTNU - Norwegian University of Science and Technology
wireless capsule endoscopycolour scienceimage enhancementcomputer visionmedical imaging
Deadline
Nov 19, 2026
28 days
Funding
Salaried
NOK 580k/yr
Start date
2027-08-01
Fixed-term
Location
Trondheim
Norway

Overview

The Department of Computer Science at the Norwegian University of Science and Technology invites applications for a 36-month fixed-term PhD position within the MSCA Doctoral Network CAPTURE. The successful candidate will focus on developing advanced colour correction, contrast enhancement, and consistent visualization techniques for wireless capsule endoscopy image and video data. Responsibilities include conducting independent research, publishing academic papers, participating in network training activities, and completing research secondments at partner institutions. Candidates are expected to collaborate closely with academic, clinical, and industry stakeholders across Europe to improve diagnostic reliability for conditions such as inflammatory bowel disease.

PhDMSCAcolour correctioncontrast enhancementmedical image analysisCAPTURE network

What you'll do

  • Complete doctoral education and successfully obtain a PhD degree within the 36-month contract period.
  • Develop innovative methods for combined colour correction and contrast enhancement of wireless capsule endoscopy images and videos.
  • Define standardized colour palettes, reference targets, and measurement protocols for gastrointestinal imaging.
  • Quantify inter-device variability among wireless capsule endoscopy systems and validate visualization pipelines using psychometric and statistical methods.
  • Publish research findings in peer-reviewed academic venues and contribute to popular science dissemination.
  • Participate in joint research and training activities, workshops, and international secondments at partner organizations such as Sheffield Teaching Hospitals NHS Foundation Trust and the University of Granada.

Requirements

Degree required: Master's degree in computer science, electrical engineering, imaging science, or equivalent

Degree offered: PhD

Language: English; excellent oral and written communication skills

Instruction: English

Required skills
  • Demonstrated experience with imaging, colour science, colour metrology, image processing, or medical imaging
  • Very good programming skills
  • Master's degree including a major independent project or thesis equivalent to a minimum of 30 ECTS
  • Strong academic background with an average grade equivalent to B or better on NTNU's grading scale
Nice to have
Experience with medical imaging or biomedical dataFamiliarity with colour calibration, colour metrics such as delta E, or imaging standardsExperience applying machine learning or AI techniques to image enhancementFamiliarity with psychophysical experiments, perceptual evaluation methods, or image and video quality assessmentStrong interest in interdisciplinary collaboration with clinicians and industry partners
Eligibility
  • Must not have been awarded a doctoral degree prior to recruitment
  • Must meet the requirements for admission to the faculty's doctoral programme in computer science
  • Must comply with the MSCA mobility rule: must not have resided or carried out main activity in Norway for more than 12 months in the 36 months immediately prior to recruitment

Funding & terms

Type
Salaried
Amount
NOK 580k/yr
Duration
3 years
Programme
CAPTURE
EU-FUNDEDEuropean Commission / Marie Skłodowska-Curie Actions

How to apply

Applicants must submit their application electronically through the official recruitment portal by following the provided link. Ensure all required academic transcripts, project documentation, and supporting credentials are included before the submission deadline.

Documents required
  • CV
  • BSc + MSc transcripts
  • Master's thesis or documentation of major independent project
↗Apply on site
Lab
Colourlab
NTNU - Norwegian University of Science and Technology
CAPTURENorway
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Ready to apply?
28 days until the deadline — open this position on its website.