The aim of the PhD is to analyse the response of the terrestrial biosphere to
climate variability on different time scales (seasonal, interannual, decadal)
based on a collection of climate data, remote sensing based products (e.g.
LAI, albedo, land surface temperature, soil moisture, fire), and existing
terrestrial biosphere model simulations. This synthesis should follow hypothesis-driven
as well as exploratory data approaches. The domain of interest is the African
continent, which should be expanded to the global scale at a larger stage.
We are seeking a highly-motivated and collaborative PhD student with a background
in environmental or earth sciences or a related field with background in quantitative
data analysis using a script language (e.g. MATLAB, R, IDL). Experience in the
following fields would be an asset: biosphere-atmosphere exchange, ecosystem
modeling, remote sensing, hydrology, African ecosystems, multivariate statistics,
time series analysis.