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The University of Stavanger invites applicants\u00a0for a PhD\u00a0Fellowship 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.<\/p>\n
This is a trainee position that will\u00a0give promising researchers an opportunity for academic development\u00a0through a PhD education leading to a doctoral degree.<\/p>\n
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.<\/p>\n
The appointment is\u00a0for three years with\u00a0research duties\u00a0exclusively.<\/p>\n
The PhD fellowship is a part of \u201cSafer Healthcare\u201d a collaborative project between University of Stavanger, Stavanger University Hospital (SUH) and Laerdal medical AS.\u00a0\u00a0The project will be conducted in collaboration with several hospitals in Scandinavia and Laerdal Medical.<\/p>\n
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.<\/p>\n
Objectives<\/strong><\/p>\n 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:<\/p>\n Requirements<\/strong><\/p>\n 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.<\/p>\n To be eligible for admission to the doctoral programmes at the University of Stavanger both the grade for\u00a0your master\u2019s thesis and the weighted average grade of\u00a0your master\u2019s degree must individually be equivalent to or better than a B grade.\u00a0If you finish your education\u00a0(masters degree)\u00a0in the fall of 2025,\u00a0you are also welcome to apply.<\/p>\n 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.<\/p>\n Furthermore, you must have strong foundational knowledge in mathematics, signal\/image procesing, machinelearning\/deep learning and computer science.<\/p>\n It will be an advantage to have:<\/p>\n Emphasis is also placed on your:<\/p>\n 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:<\/p>\n Benefits<\/strong><\/p>\n Organization\/Company<\/b> \u2013 University of Stavanger.<\/p>\n Research field<\/b> \u2013\u00a0 Engineering \u00bb Electrical engineering<\/p>\n\n
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