Machine Learning and Climate Extreme Postdoc (M/F)

Updated: 3 months ago
Location: Gif sur Yvette, LE DE FRANCE
Job Type: FullTime
Deadline: 27 Feb 2024

7 Feb 2024
Job Information
Organisation/Company

CNRS
Department

Institut Pierre-Simon Laplace
Research Field

Environmental science
Environmental science » Earth science
Environmental science » Global change
Researcher Profile

First Stage Researcher (R1)
Country

France
Application Deadline

27 Feb 2024 - 23:59 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

35
Offer Starting Date

1 Apr 2024
Is the job funded through the EU Research Framework Programme?

H2020
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

To develop statistical approaches for multivariate Climate Extremes modelling.
To identify and exploit applications of Machine Learning to extreme values.

To produce scientific material (papers/articles, conferences, seminars…)
To produce algorithms useful for the team and beyond.

The position is funded by the XAIDA project (eXtreme events: Artificial Intelligence for Detection and Attribution), which aims to better evaluate and predict the influence of climate change on extreme weather phenomena using new artificial intelligence methods. The position is a full-time fixed-term contract within the ESTIMR team at LSCE.


Requirements
Research Field
Environmental science
Education Level
PhD or equivalent

Research Field
Environmental science
Education Level
PhD or equivalent

Research Field
Environmental science
Education Level
PhD or equivalent

Languages
FRENCH
Level
Basic

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

Additional Information
Eligibility criteria

PhD.
Statistics skills, especially in extreme values theory and Machine Learning.
Mastering English is compulsory.
Mastering Python and R required.


Website for additional job details

https://emploi.cnrs.fr/Offres/CDD/FR636-MARCAS-005/Default.aspx

Work Location(s)
Number of offers available
1
Company/Institute
Institut Pierre-Simon Laplace
Country
France
City
GIF SUR YVETTE
Geofield


Where to apply
Website

https://emploi.cnrs.fr/Candidat/Offre/FR636-MARCAS-005/Candidater.aspx

Contact
City

GIF SUR YVETTE
Website

http://www.ipsl.jussieu.fr/

STATUS: EXPIRED

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