Postdoctoral Programme for Research Institutes

The Postdoctoral Programme for Research Institutes aims to boost research, development, and innovation (RDI) in key areas for society and business.  The Programme fosters cross-sector collaboration and promotes the national and international mobility of postdoctoral researchers. The long-term goal is to accelerate sustainable economic growth and increase productivity in Finland.

The program will hire 85 postdoctoral researchers to 12 Finnish government research institutes between 2025 and 2028. Postdoctoral researchers will drive impactful, high-level research bridging science, industry, and administration.

The programme is supported by Finland’s long-term R&D funding. The purpose of State’s R&D funding, together with R&D investments from the businesses sector, is to raise Finland’s R&D expenditure to 4% of GDP by 2030.

Postdoctoral researchers

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Laura Joensuu
Laura Joensuu
Finnish Institute for Health and Welfare

Sustainable lifestyles

The main objective of this research is to study and facilitate the adoption of sustainable lifestyles, with a particular focus on health-related behaviors such as physical activity.

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Sonali Patil
Sonali Patil
Natural Resources Institute Finland (Luke)

Artificial intelligence and new technologies in primary production

This research will develop robust AI models for unstructured environments using Self-Supervised Learning (SSL) and Foundation Models.

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Joakim Wikström
Joakim Wikström
VATT Institute for Economic Research

Economics of Innovation

My research examines innovation—the production of ””useful ideas””—a key driver of long-run economic growth.

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Meri Virman
Meri Virman
Finnish Meteorological Institute

Severe convective storm research in boreal and Arctic regions

My postdoctoral research aims to improve the understanding and assessment of risks associated with convective storms and severe weather under both current and future climate conditions.

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Veera Tahvanainen
Veera Tahvanainen
Natural Resources Institute Finland (Luke)

Decision-making processes and decision support for multifunctional forests

The main objective is to study the forest owners’ decision-making processes and decision support to understand the factors behind the behavior that leads to or hinders the forest management solutions that aim for multifunctionality of forests.

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Anton Rusanen
Anton Rusanen
Finnish Meteorological Institute

Use of artificial intelligence in urban air-quality modelling

I aim to use artificial intelligence combined with traditional model data to get more accurate air quality predictions in urban areas.

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Organisations

Find out the research institutes that implement the Programme and where to find open positions.

Progress

The second kick-off event brought together postdocs who joined the programme at a later stage.
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