AI Research Fellow — Population Health & Genomics

Helsingin yliopisto; Helsinki; On-site; EUR 54,000 - 67,000; Full time

Job summary

The University of Helsinki invites applications for a Research Fellow (University Researcher) in AI for Population Health and Genomics, a fixed-term joint appointment (50%:50%) between SWAN, FIMM and the Department of Computer Science. The role emphasizes methodological innovation and AI applications to large biomedical data.

Collaborations span Ganna Lab, Probabilistic ML Lab, and ELLIS Institute Finland, with access to major datasets and cutting-edge computing resources.

Qualifications

• Doctoral degree in AI, ML, or computational statistics.
• 2–4 years of postdoctoral research with evidence of independent work.
• Publications in AI/ML venues or leading biomedical journals with AI contributions.
• Personal research interests aligning with the university groups.

Responsibilities

• Pursue independent AI method research for population health.
• Collaborate with Ganna Lab, FIMM and Probabilistic ML Lab.
• Contribute to teaching up to 5–10% of time.
• Engage with ELLIS Institute Finland activities.

Skills

Independent research

Research leadership

Funding acquisition

Public engagement

Education

Doctoral degree

Postdoctoral research experience

Job description

The University of Helsinki invites applications for a Research Fellow (University Researcher) in AI for Population Health and Genomics, a fixed-term joint appointment (50%:50%) between SWAN, FIMM and the Department of Computer Science. The role emphasizes methodological innovation and AI applications to large biomedical data.

Collaborations span Ganna Lab, Probabilistic ML Lab, and ELLIS Institute Finland, with access to major datasets and cutting-edge computing resources.