PhD Candidate
Are you interested in using artificial intelligence (AI) to shape the future of healthy ageing? This PhD project is built around the World Health Organization’s (WHO) concept of intrinsic capacity – the combined physical and mental abilities that allow people to function and thrive as they age, including cognition, locomotion, sensory function, vitality, and psychological well-being.
As a PhD candidate, you will work with unique Norwegian population data, combining decades of information from the Trøndelag Health Study (HUNT) with multiple national health registries. Few countries in the world offer this opportunity. Using advanced AI and machine learning (ML) methods, you will analyze large, rich, and complex datasets to develop new ways of measuring intrinsic capacity and to uncover how life-course factors influence health and ageing in later life.
The project explores i) how intrinsic capacity can be captured in a Norwegian population, ii) which early- and mid-life factors shape trajectories of intrinsic capacity later in life, and iii) how changes in intrinsic capacity are linked to disease, health service use, and survival.
This PhD offers cutting-edge training at the intersection of ageing research, epidemiology, and AI, with clear relevance for future healthcare and policy.
Ageing and Health has a vacant 3‑year full-time (100%) position as a PhD candidate in the project Smart Aging: Leveraging machine learning to understand and predict intrinsic capacity in Norwegian older adults.