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.
The aim of this work is to develop and implement regional-scale machine learning weather prediction models for both operational and research application purposes.
The main objective is to study the possibilities of novel satellite technologies for the use of research and monitoring of water quality with a special interest in cyanobacterial communities.
Climate change is intensifying ecological shifts across forest and agricultural landscapes, including increased insect outbreaks in forests, such as bark beetle infestations, and altered growth dynamics in crops.
The main research objective is to develop a catchment scale economic optimization model to identify cost-effective solutions for water protection, focusing on various water polluting sectors.
My research focuses on modelling current and future risks associated with forest disturbances caused by bark beetles (Ips spp.) and forest fires in Finland.
My research focuses on identifying and selecting tree genotypes that remain productive and healthy under a changing climate.
