Lasse Riis Østergaard

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.