Postdoctoral Fellow in Tropical Precipitation
The Department of Meteorology at Stockholm University
The Department of Meteorology at Stockholm University (MISU) conducts research and education spanning the atmosphere, ocean and physical climate sciences. We offer educational programmes at the Batchelors, Masters and PhD levels. Our research addresses fundamental questions concerning the dynamics, physics, chemistry and biogeochemistry of the atmosphere and ocean relevant for weather and climate. We study questions originating from the deep ocean to the upper atmosphere and from the tropics to the poles. In this effort, we use and develop theory, statistical methods, and numerical models in close interplay with observations. We also develop and lead observational research using satellite and surface-based measurements, including icebreaker expeditions to the Arctic.
The department has around 60 employees and is embedded in a larger research environment including the Bolin Centre for Climate Research, the Baltic Sea Centre, and the Swedish e-Science Research Centre. The department is highly international, with over half our employees coming from outside Sweden and both Swedish and English used as working languages. We welcome and value diversity in our working environment.
Further information about the position can be obtained from Associate Professor Thorsten Mauritsen, thorsten.mauritsen@misu.su.se.
Climate: Past, Present & Future (CL)
Natural Hazards (NH)
In this project we aim to understand the response of tropical precipitation over land to external factors such as global warming or deforestation. The focus is on atmospheric processes and feedbacks, but can be extended to also involve vegetation feedbacks. The position will be associated with the Swedish Research Council project Tropical Precipitation Tipping Points (TPTP).
The position involves conducting research within the project as described above. The Postdoctoral fellow can use both satellite and ground-based observations, existing climate model ensemble simulations, and/or conduct new model experiment, e.g. high resolution cloud resolving simulations with the ICON model, to achieve the goals of the project.