Postdoctoral Researcher in Multimodal AI for Population Health, University of Helsinki, Finland

Summary

The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, is seeking a highly motivated postdoctoral researcher. The chosen candidate will work alongside clinicians to build and study multimodal health trajectories on a nationwide scale using comprehensive Finnish health data from 7 million individuals. The primary objective is to identify increasing disease risks as early as possible.

Postdoctoral Researcher in Multimodal AI for Population Health, University of Helsinki, Finland

Key Details

Eligibility & Qualifications

• Education: A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline.
• Experience: Demonstrated machine learning experience supported by high-quality scientific publications. Experience working with real-world health data is a plus.
• Technical Skills: Proficiency in Python, experience in Linux-based HPC environments or cloud computing platforms, and proven experience with deep learning frameworks (e.g., PyTorch). Familiarity with multimodal data fusion is highly desirable.
• Soft Skills: Ability to work independently as well as collaboratively within interdisciplinary and international teams. Excellent command of spoken and written English.
• Leadership: Willingness to supervise junior researchers (Master’s and PhD students) and develop supervision skills.

Job Description (Key Responsibilities)

• Design, implement, and benchmark machine learning models for large-scale, heterogeneous health datasets (including structured medical histories, demographics, clinical notes, laboratory measurements, omics, and genetics).
• Collaborate closely with team members and national/international research partners.
• Assist team members with experiment planning, data processing, and result interpretation.
• Contribute to writing scientific articles, conference presentations, and grant applications.
• Participate in open science initiatives and code sharing.

How to Apply

Applications must be submitted through the University of Helsinki electronic recruitment system by clicking the “Apply for job” button on the official portal.

Note for Internal Applicants: Current employees of the University of Helsinki must submit their applications throughSAP Fiori.

AI Policy: The university expects applications crafted by the candidates themselves, reflecting their own voice and thoughts. Applications generated by AI do not meet expectations.

Your application package must include:

1. A one-page motivation letter stating your reasons for applying.
2. A maximum two-page CV.
3. A list of scientific publications.
4. An official copy of your PhD degree certificate.
5. Contact information for two references (name, relation, email, and phone number). References will only be contacted at a later stage.

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