Postdoc - Land Surface Modelling
Core
Performing land surface model simulations to analyze the impact of future extreme weather events on water resources and agriculture over Europe, and simulating adaptation measures.
Role type
Postdoctoral researcher in land surface modelling
Builds
Analysis of large model simulation datasets and definition of adaptation scenarios for water resources, agriculture, and forest management
Domain
Earth system science, hydrology, and biogeochemistry
Deliverable
production ML models
Required skills
Land surface modelling, atmospheric modelling, hydrological modelling, large dataset analysis, Python, Fortran, C++, R
Preferred skills
Simulation of adaptation scenarios, writing funding proposals, supervising MSc and PhD students
Technologies
Python, Fortran, C++, R
Responsibilities
Performing land surface model simulations over Europe; Analyzing large model simulation datasets focusing on soil moisture, groundwater, river discharge, crop yield, and biomass; Defining adaptation scenarios in water resources, agriculture, and forest management; Presenting results in international publications, conferences, and project reports
Seniority
Postdoctoral researcher