Research fellow (University Researcher) in AI for Population Health and Genomics
University of Helsinki, Faculty of Science and Institute for Molecular Medicine Finland (FIMM), HiLIFE
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Who can apply: A doctoral degree plus postdoctoral research experience (typically 2 to 4 years) in artificial intelligence, machine learning or computational statistics, with an interest in population health or human genetics. The advert expects publications in top AI or machine learning venues or clear AI contributions in leading… What is funded: A fixed-term research fellow appointment of up to 4 years, split 50:50 between the Department of Computer Science and FIMM, with a monthly salary of EUR 4,800 to 6,000 depending on experience. The appointee is expected to live in Finland, and relocation support is offered. Deadline: 16 November 2026 Europe/Helsinki time.
Read the full call and apply on the official page: University of Helsinki, Faculty of Science and Institute for Molecular Medicine Finland (FIMM), HiLIFE, official page.
Who can apply
- A doctoral degree plus postdoctoral research experience (typically 2 to 4 years) in artificial intelligence, machine learning or computational statistics, with an interest in population health or human genetics. The advert expects publications in top AI or machine learning venues or clear AI contributions in leading biomedical journals, and ideally evidence of independent research. This suits a researcher a few years past the PhD, not a new graduate. International applicants are supported in relocating to Finland.
Stage dates
Apply through the University of Helsinki recruitment system with a CV, a publication list and a 2 to 5 page document on your qualifications and planned research. Referee contacts are requested only at interview stage.16 November 2026
Dates come from the funder's page for this round. When a round closes, the next round's dates replace these once the funder publishes them.