Contract type: Fixed term contract
Duration: 30 months
As part of a Research and Technology Organization (RTO), the work of the Environmental Research and Innovation (ERIN) Department tackles some of the major environmental challenges our society is facing today, such as climate change mitigation, ecosystem resilience, sustainable energy systems, the efficient use of renewable resources, and environmental pollution prevention and control. To this end, the mission of the ERIN department is:
(1) To conduct impact-driven scientific research and development, as well as technological innovation
(2) To support companies in the implementation of new environmental regulations and advise governments on determining sustainable policies for the future with the objectives of:
The postdoctoral researcher will be involved in the framework of the CAPACITY (ClimAte and Plant hydrAulics Controls on drought predIction uncertainty in a new-generation Terrestrial sYstem model) project funded by the Luxembourg National Research Fund (FNR). The project will tackle the challenges of investigating the controls of plant hydraulic traits on the drought predictive uncertainties across different ecosystems, regions, and the entire European continent under past and future climatic conditions. The CAPACITY project will make joint use of the most recent version of the Community Land Model (CLM5.0) and multi-source observations, exploit globally assembled and continuously updated databases of plant traits, and extract past and future climate signals from multi-model ensemble atmospheric simulations. The researcher will be incorporated in the Agro-Environmental Systems group of the Environmental Sensing and Modelling (ENVISION) RDI unit and will collaborate with scientists in other groups on topics related to remote sensing and plant ecophysiology.
The postdoctoral researcher will play a central role in the project and its outputs. Her/his main mission is to perform regional- and continental-scale CLM5.0 simulations over Europe for seasonal and decadal time periods. In addition, the candidate will be asked to exploit information from a wide range of in-situ (e.g., FLUXNET and SAPFLUXNET) and remotely sensed (e.g., ESA-CCI soil moisture, MODIS Land Surface Temperature, and Sun-Induced Chlorophyll Fluorescence) datasets to establish complementarity between the land surface modelling and remote sensing.
Scientific work tasks
Project management tasks
Dissemination, valorisation and transfer tasks
Candidates interested in the above position can apply online on our website www.list.lu
The application file should include: