Researcher in Data Analytics for Climate Science
at the Department of Meteorology. Closing date: 8 August 2016.
The Department of Meteorology (MISU) is the leading department in Sweden for research and education in physical climate science, including atmospheric physics, dynamical meteorology, physical oceanography and chemical meteorology. The department employs over 25 scientists and over 30 PhD students. The department is part of the Bolin Centre for Climate Research, that together with three other departments at the university promotes interdisciplinary research in climate and Earth system science. The department also participates in the Swedish e-Science Research Centre (SeRC), which promotes the use of computational tools for scientific discovery.
This position is within the SeRC-funded collaborative project FAST which aims to leverage current developments in Big Data techniques for applications in climate science. The aim is to develop and implement efficient parallel algorithms for statistical analysis of climate data. The work will be done in close collaboration with data scientists at SICS/KTH. There is particular interest in cyclone tracking algorithms and the use of deep learning techniques to identify significant circulation patterns, but all types of climate analysis may be considered. There will be considerable freedom for the selected candidate to help shape the direction of the research, which may also include application of the tools developed to address specific climate science research questions.
June 15, 2016
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