08/09/2021
The Human Resources Strategy for Researchers

Development of machine learning methods to combine multi-model biases in studies of detection and attribution of climatic extremes

This job offer has expired


  • ORGANISATION/COMPANY
    CNRS
  • RESEARCH FIELD
    Environmental scienceEarth science
    Environmental scienceGlobal change
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    29/09/2021 23:59 - Europe/Brussels
  • LOCATION
    France › GIF SUR YVETTE
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    35
  • OFFER STARTING DATE
    01/11/2021

OFFER DESCRIPTION

The «Extrêmes-Statistiques-Impacts-Régionalisation» LSCE team (Philippe Naveau, Davide Faranda), near Paris, and the Climate and statistical mechanics” group (ENS, Lyon, Freddy Bouchet) will be strongly involved in the PhD supervision.
Collaborations with P. Ailliot (Math dept, UBO, Brest) and P. Tandeo (IMT Atlantique, Brest) will be also established.

Global climate models are generally assessed on average behaviours and typical fluctuations, and biases are thus determined. The aim of this PhD will be to set up a new framework for the evaluation of model biases for extreme events. The goal is to develop a theoretical framework to combine the relative merits of different models according to their ability to reproduce specific extremes: heatwaves and extreme precipitation. Extreme value theory and statistical physics will be at the heart of the analysis and will be coupled with machine learning techniques dedicated to the aggregation of biases and uncertainties. Once the conceptual framework, the data from the CMIP experiments will be analysed in detail. The algorithms developed may be useful for other types of risk analysis.

More Information

Additional comments

The PhD is funded by a CNRS 80 PRIME grant for a three year period.

Web site for additional job details

Required Research Experiences

  • RESEARCH FIELD
    Environmental science
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Environmental scienceEarth science
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Environmental scienceGlobal change
  • YEARS OF RESEARCH EXPERIENCE
    None

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Environmental science: Master Degree or equivalent
  • REQUIRED LANGUAGES
    FRENCH: Basic
Work location(s)
1 position(s) available at
Laboratoire des Sciences du Climat et de l'Environnement
France
GIF SUR YVETTE

EURAXESS offer ID: 681843
Posting organisation offer ID: 23064

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