SWAN is recruiting:
Research Fellows and/or Postdoctoral Researchers for AI in Medical and Health Data Sciences

The Faculty of Medicine, the Faculty of Science and the Institute for Molecular Medicine Finland, University of Helsinki, invite applications for

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TWO POSITIONS OF RESEARCH FELLOW (UNIVERSITY RESEARCHER) AND/OR POSTDOCTORAL RESEARCHER

 

for a fixed-term appointment of 4 years in total. The starting date is as agreed, typically between August and December 2025.  

 

The research action Sustainable Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact. We provide mechanistic, individualized, preventive and multidisciplinary knowledge on a topic that is a global threat to societies: shortened health span and an aging population. Delaying age-related diseases is a state of will among the population and thus a key topic for decision-makers.

SWAN conducts cutting-edge research to promote health span by identifying individual risks and susceptibilities. SWAN aims to clarify mechanisms of degeneration across the lifespan and to explore new approaches to detecting, monitoring and treating remodeled metabolism associated with ageing. In addition to biomedical approaches, SWAN will seek to identify factors that facilitate or hinder the use of personalized health information in the society and explores the potential environmental, health and economic impacts of the introduction of such personalized information.

A strategic emphasis on data and AI supports reaching these aims.

SWAN promotes also the commercialization of the key results, and the results will be incorporated into economic and policy-decision making.

 

The Faculty of Medicine, FIMM, and the Faculty of Science are looking for two researchers at the intersection of artificial intelligence, molecular medicine and health data science. There are two positions, whose profiles support one another. The selected candidates will contribute to SWAN’s AI strategy by conducting independent and collaborative research and support the strategic focus on the use of AI in scientific research across the different faculties and research units.

 

The candidates are expected to carry out their own research within the scope, typically working in collaboration with existing research groups at the university. In addition, all recruited personnel will be part of a joint “AI Virtual Lab” activity for supporting use of AI in scientific research, as university-wide mechanism for driving the AI transformation.

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The selected candidates are expected to engage in

• Joint planning and execution of research on the metabolic mechanisms of aging and population health. The key profile in one of the two positions is to focus on metabolic mechanisms of aging-related degeneration. The profile of the other position focuses on integrating human genetics and AI for population health. For example, in this position the candidate may work on foundation models that combine molecular data and electronic health records.    

• Working as part of the group of AI researchers in the AI Virtual Laboratory.  

• Educational activities relating to molecular metabolism, human genetics, biomedicine and AI for population health.  

• Broader communication with the scientists in their general application domain, working together with them to establish practices in the use of AI in their domain.

• Interaction with various support services, e.g. research software engineers.

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For qualifications, what we offer, application instructions​ and to submit an application, please see the University of Helsinki's website: https://jobs.helsinki.fi/job/Helsinki-Research-Fellows-andor-Postdoctoral-Researchers-for-AI-in-Medical-and-Health-Data-Sciences/820742402