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One or more PhD stipends in AI and Medical Imaging for Stroke Prediction and Personalised Care Aalborg University in Denmark
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
PhD stipend for a period of 3 years; salary and terms are in accordance with the Danish AC collective agreement. Includes a PhD position with standard university employment conditions.
Deadline
Nov 26, 2026
Country
Denmark
University
Aalborg University
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About this position
The project is a three-year PhD stipend at Aalborg University focused on AI and medical imaging for stroke prediction and personalised care. It is part of the Centre for AI in Health at the Faculty of Medicine and based in the Department of Health Science and Technology, an interdisciplinary environment bringing together engineering, medicine and health sciences.
The PhD candidate will work on developing novel AI methods to support early risk stratification, clinical decision-making, and personalised care for patients with transient ischaemic attack (TIA) and minor stroke. The project addresses a major clinical challenge: identifying patients at high risk of recurrent stroke and adverse outcomes by combining heterogeneous patient data from across the care pathway.
Research in the project will centre on integrating multimodal data such as prehospital assessments, neuroimaging, vascular imaging, clinical records, and longitudinal follow-up information. The advert highlights several possible directions, including self-supervised representation learning for neurovascular imaging, multimodal foundation models for personalised risk prediction, explainable and uncertainty-aware AI for decision support, and generalisable AI models for stroke prevention and follow-up.
The successful PhD student will join an international research community with access to experienced supervisors, modern research facilities, and strong collaboration across disciplines. The project involves close work with researchers in artificial intelligence, medical image analysis, cardiovascular medicine, neurology, and stroke care at Aalborg University and Aalborg University Hospital.
The appointment is associated with the PhD programme in Biomedical Engineering and Neuroscience at the Faculty of Medicine. The position is framed within a research environment that emphasizes interdisciplinary collaboration, clinical relevance, and societal impact.
Funding details
PhD stipend for a period of 3 years; salary and terms are in accordance with the Danish AC collective agreement. Includes a PhD position with standard university employment conditions.
What's required
Applicants must hold a Master's degree. A strong technical background in machine learning, artificial intelligence, computer science, biomedical engineering, medical informatics, data science or a related field at Master's level is required. Candidates should have programming experience in Python and modern machine learning frameworks. Experience with machine learning, deep learning, computer vision or medical image analysis is an advantage. Strong written and spoken English communication skills are required, and a strong interest in developing novel AI methods with clinical impact is expected. The PhD student must be enrolled in the Doctoral School in Medicine, Biomedical Science and Technology and complete PhD courses corresponding to 30 ECTS, gain teaching or dissemination experience, and complete an external research stay outside Aalborg University, preferably 3-6 months abroad.
How to apply
Prepare an application including a motivation letter, CV, diplomas with grades, a one-page research statement, optional references, and other relevant documents. Submit the application through Aalborg University’s recruitment system accessed from the job advertisement on the university website.
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Professors
Professor at Aalborg University
Denmark
Research Interests
Artificial Intelligence
Medical Imaging
Clinical Decision Support
Ml
Medical Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.