PhD student in atmospheric science
at the Department of Meteorology. Closing date: 2 May 2017
Atmospheric structures such as cyclones and atmospheric rivers play a central role in weather and climate. Automated algorithms to detect and track the space-time evolution of such features are therefore an essential tool in atmospheric research. The succesful candidate will participate in a exciting cross-disciplinary project bringing together experts in atmospheric science, computer science and visualisation to advance the state of the art in atmospheric feature tracking. The project aims to adapt advanced techniques developed in the computer science and visualisation communities to atmospheric data from models and observations, and use the results to gain new insight into atmospheric processes.
This project is part of a large-scale collaborative effort in feature tracking funded by the Strategic Research Foundation (see here for details), and will involve close collaboration with visualisation groups at KTH and Linköping University. There will also be close links with the Swedish e-Science Research Centre, SeRC. Candidates with strong computational skills and a keen interest in atmospheric applications are particularly encouraged to apply.
April 3, 2017
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