Research Fellow in AI for Population Health and Genomics
Drive cutting-edge AI and machine learning research for large-scale biomedical and genomic datasets at the University of Helsinki.
Best for:Best for postdoctoral researchers in machine learning or AI with a strong publication record and an interest in large-scale biomedical applications.
Overview
The University of Helsinki invites applications for a fixed-term Research Fellow position split between the Faculty of Science and the Finnish Institute for Molecular Medicine (FIMM). The appointee will develop an independent research program focusing on methodological innovation and the application of modern artificial intelligence to large-scale biomedical and genomic data. This role is part of the Sustainable Wellbeing Across Lifespan research initiative and collaborates closely with the Ganna Lab and Probabilistic Machine Learning Lab. The successful candidate is expected to advance AI methodologies, engage with the ELLIS Institute Finland, and contribute marginally to teaching activities.
What you'll do
- Pursue independent research on methodological innovation in developing and applying AI methods to biomedical data.
- Collaborate with existing research groups at the University of Helsinki and participate in ELLIS Institute Finland activities.
- Contribute to university-wide initiatives advancing the use of artificial intelligence in scientific research.
- Participate in teaching duties for up to 5-10% of annual working time.
- Engage in research funding acquisition and public scientific outreach.
Requirements
Degree required: Doctoral degree in artificial intelligence, machine learning, computational statistics, or a related suitable field
Language: English proficiency for academic research and collaboration
Instruction: English
Publications: Publication record in top-tier venues in AI and machine learning (e.g., NeurIPS, ICML, ICLR) or leading biomedical journals (e.g., Nature Genetics, Nature Medicine)
- Demonstrated competence in developing and/or applying artificial intelligence methods
- Proven research activity and postdoctoral experience following a PhD
- Strong publication record in top-tier AI, machine learning, or leading biomedical venues
- Personal research interests aligned with the scope of the position and host research groups
- Must reside in Finland while employed by the University of Helsinki
Funding & terms
How to apply
Deadline: 2026-11-16
Submit your application and all required English-language attachments through the University of Helsinki Recruitment System using the 'Apply now' link before the closing date.
- CV
- List of publications
- 2-5 page document covering qualifications and planned research description
Contact
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