The Spanish National Research Council (Consejo Superior de Investigaciones Científicas, CSIC) and Complutense University of Madrid (UCM) are seeking to appoint a researcher with experience in the statistical analysis of climate data. She/he will join the research team STREAM and contribute to the EU-funded H2020 project CLINT.
In this project CSIC is collaborating with other 14 European partners to develop novel attribution methodologies of extreme weather events and identify external climate drivers through the use of machine learning techniques. We invite applications from scientists with research experience in detection/attribution of extreme events to climate change. Applications from researchers with background in data science are also welcome.
This position is funded by the Horizon 2020 project CLINT (Climate Intelligence), which aims to develop an Artificial Intelligence framework composed of Machine Learning techniques and algorithms to process big climate datasets for improving the detection, causation and attribution of extreme events in Climate Science.
The researcher will play a leading role in the CLINT consortium. She/he will conduct research to attribute both single events and observed trends to human-made climate change as well as to estimate future changes. Classical techniques will be expanded with machine-learning methods to infer associations between large-scale circulation patterns and extremes, perform attribution exercises, improve the detection of observed trends and construct best and worst case scenarios of future changes.