Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
SLU's Department of Soil and Environment in Uppsala invites applications for a two-year postdoc position in the Soil and Environmental Physics group. The research focuses on ecological, biogeochemical, and physical processes shaping carbon cycle responses to global change and model implementation.
The role includes independent research, data collection from literature and databases, statistical analyses, model development, and dissemination of results through publications and conferences.
Department of Soil and Environment, Swedish University of Agricultural Sciences (SLU)
The Department of Soil and Environment is a leading soil research institution, both nationally and internationally. Our research focuses on fundamental soil properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute knowledge about future sustainable land use and develop new solutions as a basis for decision-making in agriculture, forestry and the urban environment. The working environment at the department is international and we have around 100 employees.
Full time
Entry level
PhD
10 September 2026
28 July 2026
A 2-years postdoc position is available in the Soil and Environmental Physics group at the Department of Soil and Environment, Swedish University of Agricultural Sciences (SLU), in Uppsala.
We are looking for a researcher fascinated by the interactions of ecological, biogeochemical, and physical processes that shape the responses of the carbon cycle to global change and the implementation of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two.
As a post-doc in the project, you will be expected to perform independent research, including data collection from literature sources and online databases, statistical data analyses, development and use of process-based mathematical models, writing scientific papers in collaboration with the project group and external collaborators, and presenting research result at seminars and conferences.