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Arto Klami

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5 days ago

Research Fellow (University Researcher) in AI for Population Health and Genomics University of Helsinki in Finland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fixed-term full-time research fellow position for up to 4 years; monthly salary between 4800 and 6000 euros depending on experience and qualifications.

Deadline

Nov 16, 2026

Country flag

Country

Finland

University

University of Helsinki

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Keywords

Computer Science
Biology
Artificial Intelligence
Medical Science
Population Health
Omics
Genetic
Genomic
Computational Statistics
Scientific Discovery
Statistics
Electronic Health Record
ML

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About this position

This joint position brings together the Faculty of Science, the Finnish Institute for Molecular Medicine Finland (FIMM) at HiLIFE, and the University of Helsinki for research at the intersection of artificial intelligence, population health, and genomics. The appointed researcher will develop an independent research program within the Sustainable Wellbeing Across Lifespan (SWAN) research action, which aims to promote health span by identifying individual risks and susceptibilities, clarifying mechanisms of degeneration across the lifespan, and exploring new ways to detect, monitor, and treat remodeled metabolism associated with ageing.

The role is centered on methodological innovation and the application of modern AI approaches to large-scale biomedical data. Potential research directions include foundation models for longitudinal electronic health records and genomics, multimodal learning that integrates health records with molecular data, causal representation learning, in-context learning, amortized inference for healthcare decision-making, and AI-assisted scientific discovery workflows.

The researcher will work in close collaboration with the Ganna Lab at FIMM and the Probabilistic Machine Learning Lab at the Department of Computer Science, including groups led by Acerbi and Klami. The position also aligns with concurrent projects developing foundation models for healthcare and offers scope to contribute to activities within the ELLIS Institute Finland.

Researchers in this environment have access to exceptionally rich data and computing resources, including nationwide longitudinal health records from Finland, FinnGen genomic data, extensive multi-omics datasets, and world-class computing infrastructure through CSC and LUMI. The position is split between the Faculty of Science and FIMM, creating a collaborative setting that connects AI methodology with biomedical research at scale.

Funding details

Fixed-term full-time research fellow position for up to 4 years; monthly salary between 4800 and 6000 euros depending on experience and qualifications.

What's required

A doctoral degree is required, together with postdoctoral research experience in artificial intelligence, machine learning, or computational statistics, typically 2–4 years after the PhD. Applicants should show demonstrated interest in population health and/or human genetics, strong scientific competence in developing and/or applying AI methods, a proven publication record in top-tier AI/ML venues or leading biomedical journals, and the ability to lead a research group. Experience in research funding acquisition and public engagement is preferred. Excellent communication skills in English are necessary.

How to apply

Submit the application through the University of Helsinki Recruitment System via the Apply now link. Include a CV, list of publications, and a 2–5 page document covering qualifications for Research Fellow level and planned research. If interviewed, provide contact details for two referees.

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Professors

Professor at University of Helsinki

University Name
Country flag

Finland

Research Interests

Artificial Intelligence

Medical Imaging

Remote Sensing

Ml

Spectral Imaging

Professor at University of Helsinki

University Name
Country flag

Finland

Research Interests

Biostatistics

Epidemiology

Medical Science

Genetic

Population Health