The division "Landscape Biogeochemistry" of the Institute of Meteorology and Climate Research / Atmospheric Environmental Research (KIT/IMKIFU) at Campus Alpin in Garmisch-Partenkirchen, Germany, invites applications for a postdoctoral Researcher (f/m/d).

The announced position is embedded in the BMFTR-funded collaborative projekt "ForestOvershoot" and will be carried out in close collaboration with project partners from German research organizations, universities and the private sector. Within the project KIT Campus Alpin LandscapeDNDC model will be applied to quantify ecosystem functions of forests, such as climate protection services (sink/source funktion for greenhouse gases) as influenced by nitrogen and water availability. We will assess threats to these services retrospectively, but also by simulating furture developments based on assumptions about forest management as well as climate and atmospheric deposition changes.

The successful candidate will

• Initialize, evaluate and adapt the process-based LandscapeDNDC model (LandscapeDNDC: a regional-scale DNDC-based process model) on selected sites using available measurements.
• Prepare input data for national scale applications and run LandscapeDNDC simulations; retrospectively and as scenario studies.
• Interpet and discuss model results in close collaboration with project partners.

We seek a highly motivated person experienced in forest and biogeochemical modeling who likes to get to the bottom of things and enjoys working in a team with the following qualifications:

• A successfully completed academic university degree (Master's) with a completed doctorate in environmental sciences, forestry, geoecology, physics, chemistry, or any related field
• Sound programming skills (C/C++, Fortran, SVN, Git, Python, R, Bash)
• Experience in forest ecosystem modeling
• Understanding of biogeochemical carbon and nitrogen cycles in plant-soil systems
• English language proficiency and ability to write scientific publications
• Strong communication and teamwork skills