PhD Candidate in Explainable AI (xAI) for Capsule Endoscopy
Develop explainable artificial intelligence models for wireless capsule endoscopy within an EU-funded Marie Skłodowska-Curie Actions network.
Best for:Best for machine learning engineers with a strong background in computer vision, deep learning frameworks, and an interest in medical imaging applications.
Overview
The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) invites applications for a 3-year full-time PhD position based in Gjøvik, Norway. The successful candidate will join the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network CAPTURE, focusing on developing explainable AI (xAI) methods for automated diagnostic decision systems in wireless capsule endoscopy. Responsibilities include conducting rigorous research, collaborating with international academic, clinical, and industrial partners, participating in research secondments abroad, and completing doctoral coursework leading to a PhD degree. Applicants are expected to possess a strong background in computer science, machine learning, and computer vision, alongside excellent English communication skills.
What you'll do
- Complete doctoral education and successfully obtain a doctorate degree.
- Conduct high-quality research within the framework of explainable AI for wireless capsule endoscopy.
- Produce academic publications and engage in popular science dissemination.
- Participate actively in the Colourlab research group and CAPTURE network training activities.
- Undertake international research secondments at partner institutions such as Robert Gordon University and Technical University of Darmstadt.
- Collaborate closely with medical doctors and clinical partners to evaluate the clinical relevance of generated AI explanations.
Requirements
Degree required: Master's degree in computer science, electrical engineering, or an equivalent field including a major independent project of minimum 30 ECTS equivalent to a master's thesis.
Degree offered: PhD
Language: English; excellent oral and written communication skills.
Instruction: English
- Experience with computer vision and machine learning.
- Excellent programming skills in Python.
- Hands-on experience with deep learning libraries such as PyTorch or TensorFlow.
- Strong academic background with an average master's grade equivalent to B or better on NTNU's grading scale.
- Must not have been awarded a doctoral degree at the date of 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
How to apply
Interested candidates should submit their application through the official recruitment portal by following the provided application link. Ensure all required academic transcripts, CV, and supporting documents are uploaded according to the guidelines.
- CV
- Master's thesis
- BSc + MSc transcripts
- Cover letter
Contact
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