AI Research Fellow: Healthspan, Genomics & Big Data

University of Helsinki; Helsinki; On-site; EUR 54,000 - 67,000; Full time

Job summary

The University of Helsinki, together with FIMM and HiLIFE, invites applications for a joint Research Fellow (University Researcher) in AI for population health and genomics for up to four years. The role emphasizes methodological innovation and AI applications to large-scale biomedical data.

The appointee will develop an independent program, collaborate with the Ganna Lab and the Probabilistic Machine Learning Lab, and may participate in teaching up to 5–10% of time.

Qualifications

• Doctoral degree and postdoctoral research experience in artificial intelligence, machine learning, or computational statistics.
• Ability to lead a research group and secure research funding.
• Publication record in AI/ML and leading biomedical journals.
• Interest in population health/genomics and collaboration with Helsinki groups.

Responsibilities

• Pursue independent research on methodological innovation in applying AI to biomedical data.
• Collaborate with the Ganna Lab and the Probabilistic Machine Learning Lab at the Department of Computer Science.
• Contribute to university-wide AI initiatives and teaching (up to 5–10% of time).
• Publish in top AI/ML venues and related biomedical journals.

Skills

AI/ML research

Independent researcher

Lead a research group

Funding acquisition

Publication record

Public engagement

Population health & genomics

Education

Doctoral degree

Job description

The University of Helsinki, together with FIMM and HiLIFE, invites applications for a joint Research Fellow (University Researcher) in AI for population health and genomics for up to four years. The role emphasizes methodological innovation and AI applications to large-scale biomedical data.

The appointee will develop an independent program, collaborate with the Ganna Lab and the Probabilistic Machine Learning Lab, and may participate in teaching up to 5–10% of time.