Research Scientist, Doctoral Researcher, soil carbon modeling
About this role
Do you have good mathematical skills and interest in ecological modeling? We are looking for a motivated doctoral researcher for the Academy of Finland's 4-year DECODE project, modeling ecological interactions in soil organic carbon dynamics.
The doctoral candidate will contribute to the Academy of Finland funded DECODE project (Decoding ecosystem carbon and organic matter dynamics as an ecosystem property), investigating how the temperature sensitivity of soil organic carbon decomposition varies with organic matter quality and microbial community composition in European soils. The results will improve climate models by enabling more accurate estimates of future soil CO₂ emissions and associated feedback mechanisms.
The candidate will develop a Bayesian data assimilation framework built around the Q-model using large datasets (e.g. Holisoils, LUCAS, ICP Forests) and scaling the results up to European level. The tasks involve integrating diverse data sources, model development, using CSC's supercomputing infrastructure, and publishing results in peer-reviewed scientific journals under the supervision of the project's principal investigator.
The position is located in Luke in Helsinki within an international research team, while doctoral studies will be completed through the University of Tampere. The project includes collaboration with several European research organizations and a research visit to a partner institution, the University of Oslo. The position offers an opportunity to conduct multidisciplinary, cutting-edge research at the intersection of terrestrial ecology and mathematics, providing strong career prospects in academia, climate risk assessment and industry.
The position will start on 1.12.2026, or as agreed.
Please submit your application and CV in English.
We are looking for a highly motivated doctoral candidate with good mathematical skills, a curious mind, and the ability to apply the expertise to solving challenging ecological problems t