Postdoctoral researcher, Soil carbon estimation for forestry and agriculture
Soil System Sciences (SSS)
The postdoctoral researcher will study how land use affects the quantity and quality of organic matter flows from vegetation to soil in boreal ecosystems. The research approach combines data from ecosystem measurements and satellite observations with mathematical modelling. The main tasks are 1) to improve and further develop methods of quantifying organic matter flow from vegetation to soils in forests and agricultural systems, 2) to validate the developed methods against multi-scale experimental data, and 3) support soil carbon model calibration against various data sources.
We are seeking a highly motivated researcher with a recent PhD degree and background in ecosystem or climate modelling, physical sciences, forest science, soil science, computational mathematics or biogeochemistry. Excellent research motivation, willingness to solve computational problems and the ability to work independently as part of a multidisciplinary research group are essential. Good programming skills and the ability to understand model algorithms (Python, R or Matlab) are required. Knowledge of carbon, energy and water cycles of ecosystems, satellite image analysis and dynamic systems are needed. Fluent written and oral communication skills in English are needed and she/he should also be skilled in writing scientific publications and communicating the research results.
The person to be appointed to the postdoctoral researcher position should have completed his/her doctoral degree within the past four years (excluding maternity leaves, parental leaves, or military service). A doctoral degree must be completed at the time of accepting the position. The vacancy is initially for 2 years with a possibility of 1 year continuation (2+1).