PhD – Information Technology, Artificial Intelligence in Medicine – Norway

The University of Stavanger invites applicants for a PhD Fellowship in information technology, artificial intelligence (AI) in medicine, at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant from the fall 2025.

This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree.

The hired candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research, participation in national and international research environments, relevant academic communication, a trial lecture and public defence.

The appointment is for three years with research duties exclusively.

The PhD fellowship is a part of “Safer Healthcare” a collaborative project between University of Stavanger, Stavanger University Hospital (SUH) and Laerdal medical AS.  The project will be conducted in collaboration with several hospitals in Scandinavia and Laerdal Medical.

This PhD project aims to develop advanced AI systems for automated detection and classification of critical events during birth and newborn resuscitation through multimodal video analysis. The research will integrate optical and thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and generative AI, the project will focus on temporal event recognition to address the need for objective documentation tools in neonatal care, potentially improving quality assessment, training, and research in resuscitation practices.

Objectives

The primary aim is to develop AI methodologies for automated documentation and analysis of birth and newborn resuscitation using video data. Specifically, the project seeks to:

• Design computer vision algorithms to detect and classify key clinical activities during birth and neonatal resuscitation, including object detection and tracking
• Develop temporal analysis techniques to reconstruct the sequence and duration of events from multimodal video sources
• Use multimodal data combining event recognition with risk prediction
• Create fine-tuned generative AI models that transform video observations into structured documentation and event timelines
• Validate the system’s accuracy against expert human annotation in clinical settings and evaluate usefulness through interdisciplinary collaboration

Requirements

They are looking for applicants with a strong academic background who have completed a five-year master degree within electrical engineering, information technology, computer science, or data science, preferably acquired recently; or who possess corresponding qualifications that could provide a basis for successfully completing a doctorate.

To be eligible for admission to the doctoral programmes at the University of Stavanger both the grade for your master’s thesis and the weighted average grade of your master’s degree must individually be equivalent to or better than a B grade. If you finish your education (masters degree) in the fall of 2025, you are also welcome to apply.

Applicants with an education from an institution with a different grade scale than A-F, and/or with other types of credits than sp/ECTS, must attach a confirmed conversion scale that shows how the grades can be compared with the Norwegian A-F scale and a Diploma Supplement or similar that explains the scope of the subjects that are included in the education.

Furthermore, you must have strong foundational knowledge in mathematics, signal/image procesing, machinelearning/deep learning and computer science.

It will be an advantage to have:

• Scientific programming proficiency in Python, knowledge of deep learning libraries in Python
• Practical skills for implementing and testing advanced AI-based solutions
• Enthusiastic commitment to interdisciplinary research, focusing on medical data analysis using AI techniques
• Prior experience in AI in video and image analysis, and/or newborn resuscitation research, or clinical collaborations

Emphasis is also placed on your:

• motivation and potential for research within the field
• professional and personal skills for completing the doctoral degree within the timeframe
• ability to work independently and in a team, be innovative and creative
• ability to work structured and handle a heavy workload
• having a good command of both oral and written English

A good proficiency in English is required for anyone attending the PhD program. International applicants must document this with a valid test certificate from one of the following tests:

• TOEFL – Test of English as a Foreign Language, Internet-Based Test (IBT). Minimum result: 90
• IELTS – International English Language Testing Service. Minimum result: 6.5
• Certificate in Advanced English (CAE) or Certificate of Proficiency in English (CPE) from the University of Cambridge
• PTE Academic – Pearson Test of English Academic. Minimum result: 62

Benefits

• a PhD education in a large, exciting and societally important organisation
• an ambitious work community which is developing rapidly. We strive to include employees at all levels in strategic decisions and promote an informal atmosphere with a flat organisational structure.
• access to Lifekeys, a digital service for the preservation of personal mental health and well-being
• salary in accordance with the State Salary Scale, l.pl 17.515, code 1017, NOK 541 800 (45464,12 EUR) gross per year with salary development according to seniority in the position. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
• automatic membership in the Norwegian Public Service Pension Fund, which provides favourable insurance- and retirement benefits
• favourable membership terms at a gym and at the SIS sports club at campus
• employment with an Inclusive Workplace organisation which is committed to reducing sick leave, increasing the proportion of employees with reduced working capacity, and increasing the number of professionally active seniors
• “Hjem-jobb-hjem” discounted public transport to and from work
• as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced
• relocation programme

Organization/Company – University of Stavanger.

Research field –  Engineering » Electrical engineering

Research profile – First Stage Researcher (R1).

Country –Norway.

Application Deadline – 4 Aug 2025 – 23:59 (Europe/Oslo).

More information: Euraxess.

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