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Vacancies PhD Candidate Geospatial Risk Modelling for Climate Finance Key takeaways Effectively understanding and mitigating financial risks associated with climate change is important for
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mathematics, meteorology, geosciences or a related field; experience in climate modeling (considered an advantage); basic knowledge of (geophysical) fluid dynamics (considered an advantage); excellent skills in
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affect regional agriculture and transport and possibly global food security. Recently, researchers from IMAU have for the first time modelled a full AMOC collapse in a full-fledged climate model
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science, mathematics, physics, or a related field. You have affinity with numerical modelling, preferably atmospheric modelling or climate modelling, and mathematical theory of dynamical systems. You have
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, Coastal and Shelf Sea Dynamics, Earth System Modelling, Ice and Climate and Oceans and Climate. In 2022, IMAU research quality and impact were qualified as 'world leading' by an international visitation
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, Climate Science or a related discipline by the time the position starts. Furthermore, you have: strong and demonstrable skills in running cycling, transport, or budget models or Earth System Model(s) (shown
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landscapes under climate stress. Your research will focus on setting up an integrated hydrological model for a selected agriculture-dominated study area to simulate key hydrological processes and water
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the physical and biological pumps during rapid climate transitions (e.g., the last glacial period and Holocene) using sediment records. Our data will be used in marine carbon cycle models to predict
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drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but
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include: Analysing large climate datasets to quantify and study mesoscale convective systems in tropical South America Use different modelling approaches to understand the processes driving extreme