Postdoctoral Researcher in Detection & Attribution of Extremes

Postdoctoral Researcher in Detection & Attribution of Extremes

CSIC-UCM - Spanish National Research Council - Complutense University of Madrid

Madrid, Spain

Call

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.

Project background

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.

Candidate’s profile

  • Applicants must have (or be close to completion of) a PhD degree in a relevant discipline, with preferred background in atmospheric physics or climate sciences;
  • Good scientific programming skills and experience with shell scripting, UNIX/Linux operating systems, and data analysis languages (python, R, etc.);
  • Demonstrable experience in statistics, including time series analysis, extreme value statistics, and/or extreme event attribution with observational and climate model output data;
  • Ability to work independently and as a team member of an interdisciplinary project, achieving objectives within given deadlines and attending conferences and meetings;
  • Good English skills (both writing and speaking) and experience in publication of research in peer-reviewed journals.

Other desired skills

  • Ability to fully develop novel methods for attribution of extreme events and to apply different techniques for model evaluation, bias correction and quantification of uncertainties in attribution;
  • Some previous experience in machine learning methods applied to environmental problems.

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EuroJobsites is a registered company number: 4694396 VAT number: GB 880 9055 04

Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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