2 postdoctoral researcher positions in carbon cycle modelling and data assimilation at Lund University, Sweden
The Department of Physical Geography and Ecosystem Science (https://www.nateko.lu.se) is seeking to appoint two postdoctoral researchers with a strong background in terrestrial ecology, carbon cycle modelling, data assimilation, remote sensing, applied mathematics or physics.
The appointees will be part of a vibrant and international team within the Department of Physical Geography and Ecosystem Science. The department operates and further develops the world-leading biosphere model LPJ-GUESS as well as the Carbon Cycle Data Assimilation System capable of quantifying terrestrial sources and sinks of carbon dioxide through the assimilation of various data sources (atmospheric CO2 concentrations, satellite-derived vegetation activity, in-situ flux measurements etc.).
The first position is part of the newly funded European project CHE (https://www.che-project.eu). The project will explore the development of a European system to monitor human activity related carbon dioxide (CO2) emissions across the world. For this the Department of Physical Geography and Ecosystem Science will work on developing, testing and applying a coupled carbon cycle fossil fuel data assimilation system. Both a carbon cycle data assimilation and a fossil fuel data assimilation system are already existing and have been developed at the Department of Physical Geography and Ecosystem Science (INES), Lund University (CCDAS) and the international collaborator at University of Melbourne (FFDAS). The appointee will be a member of the inverse modelling group; he/she will work on the coupling as well as further development of the system together with the project partners and international collaborators.
The second position focuses on the development of a seasonally-resolved carbon allocation-phenology scheme in LPJ-GUESS based on new mechanistic understanding and data. Specific tasks include data compilation, literature review and model development focused on the core physiological mechanisms responsible for the allocation of biomass to plant tissues and compartments, and the resulting responses to environmental and climate variations, land use and nutrient cycles. Lund University heads an international consortium engaged in the ongoing development of LPJ-GUESS. The envisaged upgrades will support to the worldwide community of users performing research using the model.
The posts will be available for 24 months, with a preferred starting date of June 2018.
Closing date for applications: 09 April 2018
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.
For further information and applying, see