We are looking for:
An enthusiastic PhD candidate who is interested in global-scale hydrology and water resources modelling and its application to issues related to the water-energy-food-ecosystems nexus. You are a team player as you will work within the international multi-disciplinary consortium of the H2020 GoNEXUS programme that brings together hydrologists, climate modelers, energy scientists, agro- and hydroeconomists, governance researchers, social-scientists and ecologists. GoNEXUS consists of 18 partners from 14 different countries and will develop a framework for designing and assessing innovative solutions for the governance of the water-energy-food-ecosystems (WEFE) nexus (see the extensive description below).
What will you do?
As a PhD you will focus your research on the impacts of current and future climate extremes on the trade-offs between food and energy security, economic development and biodiversity. To this end, you will extend our in-house global hydrology and water resources model PCR-GLOBWB with state-of-the-art crop growth and energy (hydropower, thermo-electric) modules and work on separating manufacturing and cooling water use. You will also link the output from PCR-GLOBWB (water temperatures, discharge) to the biodiversity model GLOBIO. You will investigate the changing hydro-economic on the water-energy-food-ecosystems (WEFE) nexus by including sector-specific production cost modelling and linking this to economic partial equilibrium models to analyse the effects on prices and trade. You will use the evolving versions of the WEFE modelling framework under various combined climate-socio-economic (and policy) scenarios with specific focus on the development of the WEFE nexus during climate shocks (floods and droughts). In addition to the research line described above, you will be cooperating with partners from the GoNEXUS consortium by supplying PCR-GLOBWB model outputs to energy, agroeconomic and biodiversity models, by ingesting policy scenarios (e.g., CAP, Green Deal for Europe) and by including insights from basin-scale case studies.
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