Norwegian Institute of Science and Technology
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PhD Candidate in Explainable AI (xAI) for Capsule Endoscopy Norwegian University of Science and Technology in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Fixed-term, full-time PhD Candidate position for 36 months. Salary normally NOK 580,000 per annum gross, covering the MSCA Living Allowance and Mobility Allowance; a family allowance may also be provided under MSCA regulations. Position is conditional on external funding.
Deadline
Nov 19, 2026
Country
Norway
University
Norwegian Institute of Science and Technology
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About this position
PhD opening at the Norwegian University of Science and Technology (NTNU) for a PhD Candidate in Explainable AI (xAI) for Capsule Endoscopy within the Department of Computer Science, with the position based in Gjøvik, Norway.
The project is part of the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network CAPTURE, an EU-funded international research network focused on wireless capsule endoscopy (WCE), computer vision, artificial intelligence, and clinically useful diagnostic support. The PhD candidate will work on developing explainable AI methods for automated pathology detection, with emphasis on making model predictions understandable and actionable for doctors. The work includes evaluation of explanations with medical doctors and close collaboration with hospitals.
Research activities include participation in the Colourlab research group, doctoral training, workshops, conferences, and research secondments across Europe. The post mentions planned secondments to Robert Gordon University (UK) and Technical University of Darmstadt (Germany). The project is interdisciplinary and connects academia, healthcare, and industry partners.
Funding: fixed-term, full-time PhD position for 36 months. Gross salary is normally NOK 580,000 per year, covering the MSCA Living Allowance and Mobility Allowance; a family allowance may also be available under MSCA rules. The position is conditional on external funding.
Eligibility highlights: relevant master's degree in computer science, electrical engineering, or equivalent; major independent project of at least 30 ECTS; strong background in computer vision and machine learning; excellent Python programming skills with exposure to PyTorch or TensorFlow; strong English communication skills; and compliance with the MSCA mobility rule. Master students may apply only if the degree is completed before starting.
Application deadline: 19 November 2026.
How to apply: submit the application electronically via Jobbnorge.no and include transcripts and diplomas, CV, master’s thesis or draft, a project outline, motivation letter, relevant publications/certificates, and contact details for at least two referees. If education was completed abroad, include documentation of scope and quality, diploma supplement, and any HK-dir statement if available.
Funding details
Fixed-term, full-time PhD Candidate position for 36 months. Salary normally NOK 580,000 per annum gross, covering the MSCA Living Allowance and Mobility Allowance; a family allowance may also be provided under MSCA regulations. Position is conditional on external funding.
What's required
Relevant master's degree in computer science, electrical engineering or equivalent, including a major independent project of at least 30 ECTS equivalent to a master's thesis. Applicants must have experience with computer vision and machine learning, excellent Python programming skills with exposure to deep learning libraries such as PyTorch or TensorFlow, strong academic results (average grade B or better or equivalent), and excellent oral and written English. Applicants must not already hold a doctoral degree and must satisfy the MSCA mobility rule (not having resided or carried out main activity in Norway for more than 12 months in the 36 months before recruitment). Master students may apply only if the degree is completed and documented before start.
How to apply
Apply electronically via Jobbnorge.no before the deadline. Include transcripts and diplomas for bachelor's and master's degrees, CV, copy/draft of master's thesis, a project outline (max 1500 words/4 pages), a short motivation letter, any relevant publications or certificates, and contact details for at least two referees. If your education was taken abroad, attach documentation of scope and quality plus diploma supplement and any HK-dir statement if available.
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