The research group Ecohydrological Modelling and Hydrological Change, based at IGB in Berlin-Friedrichshagen at Lake Müggelsee, is recruiting for a Scientist Position (100%, 21 months) for Ecohydrological Modelling in a Transient Climate.
Existing hydrological models still have difficulties to accurately represent the impact of given climatic variations, which has important limitations for their application in climate impact studies. This indicates problems with the representation of relevant processes or their interactions and feedbacks, but the causes of poor model performance in a changing climate are currently not well understood.
Our group aims at a mechanistic understanding of ecohydrological systems in a changing climate by integrating state-of-the-art ecohydrological modelling and data-based analyses. We use a range of observational data including remote sensing, lysimeter, and eddy-covariance data to test and further develop modelling approaches suited for a transient climate. Long-term simulations over periods with clear climate change signals enable us to better understand observed hydrological changes, which is crucial for predicting possible future changes.
The focus of the advertised position is on model implementation across multiple catchments, assessing and improving model performance using in-situ and satellite-derived data and model analysis aiming at better understanding climate-induced hydrological changes (e.g. linkage between changes in snow cover and evapotranspiration; effects of an increased frequency of warm-dry periods; feedbacks with changes in vegetation). The specific research focus will be determined considering experience and interest of the candidate.
We seek a dynamic, motivated and ambitious scientist to join our group on Ecohydrological Modelling and Hydrological Change to improve hydrological modelling in a transient climate. The ideal candidate should be experienced in combining process-based understanding with strong numerical modelling skills. They will have experience in the development and application of numerical models for different purposes, at different scales and environmental science contexts.