Postdoctoral Researcher (m/f/d) in the field of “Simulation of greenhouse gas emissions from peatlands in Germany using a GIS-based modeling framework.”
Institute of Meteorology and Climate Research / Atmospheric Environmental Research (KIT/IMK-IFU) at Campus Alpin in Garmisch-Partenkirchen
The division “Bio-Geo-Chemical Processes” of the Institute of Meteorology and Climate Research / Atmospheric Environmental Research (KIT/IMK-IFU) at Campus Alpin in Garmisch-Partenkirchen, Germany
Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for society and the environment. Our goal is to make significant contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, over 9000 employees of KIT cooperate in a broad range of disciplines in research, academic education, and innovation.
Homepage: https://imk-ifu.kit.edu/english/bgc.php
Biogeosciences (BG)
Soil System Sciences (SSS)
The announced position is embedded in the BMBF-funded collaborative project Integrated Greenhouse Gas Monitoring for Germany and will be carried out in close collaboration with the German Peatland Science Center.
ITMS is designed to enable Germany to operationally monitor the sources and sinks of the three most important greenhouse gases (GHG), CO2, CH4 & N2O, via independent measurements. The collaboration project will support Data-driven GHG monitoring and increase the transparency of Climate Mitigation Measures.
MODELPEAT belongs to the Module Sources of Sinks of Greenhouse Gases. Herein, we develop modelling approaches that make it possible to simulate “a-priori” fluxes of greenhouse gas exchange between the surface and the atmosphere. This is of central importance to inform the inverse atmospheric modelling of Module M alongside observational data provided by Module B.
The successful candidate will
- Improve the biogeochemical model LandscapeDNDC (http://ldndc.imk-ifu.kit.edu) and develop a module for the process-based modeling of organic soils.
- Calibrate and evaluate the model and assess uncertainties.
- Develop a GIS-based modeling framework for the federal state of Bavaria and Germany.
- Calculate GHG emission inventories of organic soils for Germany with uncertainty analysis.
- Interpret the model results in close collaboration with peers from both the bottom-up and top-down modeling community.
We seek a highly motivated person experienced in modeling who likes to get to the bottom of things and enjoys working in a team with the following qualifications:
- University degree (PhD) in physics, environmental sciences, geoecology, chemistry, or any related field
- Sound programming skills (C/C++, Fortran, SVN, Git, Python, R, Bash)
- Experience in ecosystem modeling
- Knowledge of spatial analysis and GIS systems
- Understanding of biogeochemical nutrient cycles in plant-soil systems
- English language proficiency and ability to write scientific publications
- Strong communication and teamwork skills
We offer
- International, interdisciplinary, and friendly working environment
- Large international network
- Attractive research campus at the foot of Germany’s highest mountain
- The gross salary depends on qualification and experience within the Collective Agreement for the German Public Service Sector (TV-L 13), with the position being limited to three years
Applications should be submitted as a single PDF Document via the Application Portal of the KIT-Campus Alpin vacancy number 85/2024 and should include a detailed CV, including personal contact information and two references, as well as a statement addressing the following points:
- What skills and abilities would you bring to the team?
- What skills and abilities would you hope to gain from working in this position? What is your specific research interest regarding agriculture and climate change?
For further information, please contact Dr. Clemens Scheer (“Clemens.scheer(at) kit.edu”).
Please send your application until 29.02.2024. We expect to fill the position by the beginning of March 2024, but the application will remain open until a suitable candidate has been found.
We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.