Phd Position In Climate Intelligence
Atmospheric Sciences (AS) Climate:
Past, Present & Future (CL)
Hydrological Sciences (HS)
Type
Full time
Level
Student / Graduate / Internship
Open
Required education
Master
21 December 2021
Posted
1 December 2021
This position is funded by the Horizon 2020 project CLINT focusing on the development of an Artificial Intelligence framework composed of Machine Learning techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation, and attribution of Extreme Events including tropical cyclones, heatwaves and warm nights, droughts, and floods.
CLINT involves 15 partners, including major climate centres in EU, data scientists, and experts of climate services
The research activity will focus on:
Developing feature extraction algorithms for supporting the detection of spatial and temporal patterns and evolutions of climatological fields (e. g. , temperature) associatedwith extreme events, particularly, extreme droughts, heatwaves, and compound events.
Validating the detected teleconnections with data-driven causal inference methods.
Qualifications for this position include a MSc degree in Physics, Computer and/or Automation Engineering, Artificial Intelligence, Applied Mathematics or related fields.
Strong numerical and computational skills are required as well as English language skills both in oral and written communication.
How to apply
EGU, the European Geosciences Union, is Europe's premier geosciences union, dedicated to the pursuit of excellence in the Earth, planetary, and Importante Azienda sciences for the benefit of humanity, worldwide.
It was established in September 2002 as a merger of the European Geophysical Society (EGS) and the European Union of Geosciences (EUG), and has headquarters in Munich, Germany.
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