Development Of Machine Learning Methods To Combine Multi-Model Biases In Studies Of Detection And...

Universities and Institutes of France

France

September 29, 2021

Description

  • Organisation/Company: CNRS
  • Research Field: Environmental science › Earth science Environmental science › Global 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
  • 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.

    Additional comments

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

    Web site for additional job details

    https: // emploi.cnrs.fr/Offres/Doctorant/UMR8212-PHINAV-003/Default.aspx

    Required Research Experiences
  • RESEARCH FIELD
  • Environmental science

  • YEARS OF RESEARCH EXPERIENCE
  • None

  • RESEARCH FIELD
  • Environmental science › Earth science

  • YEARS OF RESEARCH EXPERIENCE
  • None

  • RESEARCH FIELD
  • Environmental science › Global change

  • YEARS OF RESEARCH EXPERIENCE
  • None

    Offer Requirements
  • REQUIRED EDUCATION LEVEL
  • Environmental science: Master Degree or equivalent

  • REQUIRED LANGUAGES
  • FRENCH: Basic

    Contact Information
  • Organisation/Company: CNRS
  • Department: Laboratoire des Sciences du Climat et de l'Environnement
  • Organisation Type: Public Research Institution
  • Website: https:// www. lsce.ipsl.fr/
  • Country: France
  • City: GIF SUR YVETTE