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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Wanhe Qi
Wanhe Qi
Natural Resources Institute Finland (Luke)

Waste to value: Valorization of sludge from recirculating aquaculture systems

Recirculating aquaculture systems (RAS) play an important role in sustainable fish farming to meet global food demands, but they generate nutrient-rich sludge in large volumes during the production.

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Eemeli Holopainen
Eemeli Holopainen
Finnish Meteorological Institute

AI methods in global high resolution climate modelling

This research will advance global high-resolution climate modeling within a European consortium developing digital twins of the Earth system.

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Naomi Tucker
Naomi Tucker
Geological Survey of Finland (GTK)

Novel geochronology as a tool for ore deposit research and mineral system models

Critical metals are essential for the global transition to a sustainable, low-carbon future. This project supports Europe’s urgent need for critical raw materials by exploring Finland’s ancient crust.

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Kevin Conley
Kevin Conley
VTT Technical Research Centre of Finland Ltd.

Development of new models for advanced structure-property analysis of materials

This research investigates how to improve the structure-property analysis of materials using machine learning interatomic potentials.

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Mohammed Ali
Mohammed Ali
VTT Technical Research Centre of Finland Ltd.

MAP development of tools and concepts for automated characterisation and data

The main objective is to accelerate the discovery of novel steels for hydrogen applications using high-throughput strategies and the development of the materials acceleration platform concept. It will accelerate the additive manufacturing of previously unattainable high-strength, tough steels.

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Antti Pihlajamäki
Antti Pihlajamäki
Finnish Meteorological Institute

Assessing CO2 fluxes with machine learning and satellite observations

The concentrations of greenhouse gases in the atmosphere are constantly rising, and unexpected evolution of the carbon dioxide sinks and sources has drawn attention recently.

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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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