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Portail > Offres > Offre UMR7326-ANAMEK-055 - H/F Chercheur sur l'apprentissage profond du cisaillement cosmique

H/F Researcher on deep learning cosmic shear

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : mardi 29 novembre 2022

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General information

Reference : UMR7326-ANAMEK-055
Workplace : MARSEILLE 13
Date of publication : Tuesday, October 18, 2022
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 January 2023
Proportion of work : Full time
Remuneration : 2 889,51 € to 4 541,08 € gross/month, depending on experience.
Desired level of education : PhD
Experience required : Indifferent


We are opening a research position at the Laboratoire d'Astrophysique de Marseille (LAM) to work on the development of deep learning techniques for cosmic shear analyses with Nicolas Martinet. This two-year position is part of the PISCO (PIxelS to COsmology) grant funded by the Agence Nationale de la Recherche (ANR).


The researcher will mainly focus on the extraction of cosmological information from galaxy ellipticity catalogs, both in simulations and observations, by applying convolutional neural networks. He/She could also develop and apply deep learning methods to measure gravitational shear in telescope images.


Expertise in cosmic shear and/or deep learning is considered a strong asset for this position.

Work Context

The successful candidate will join the Galaxy and Cosmology (GECO) team at the LAM and have the opportunity to work within the Euclid Consortium. The LAM is one of the largest astrophysics laboratories in France with a dynamic international environment. It also benefits from the ideal location of Marseille, the 2nd largest city in France, sunny, and on the Mediterranean Sea.

Constraints and risks

Possible national and international travels.

Additional Information

The starting date is scheduled on the 1st of October 2023 but is flexible and can be any time in 2023.
Applicants should submit a CV and a one-page research summary on the CNRS portal and should arrange for 2 letters of recommendation to be sent to Nicolas Martinet by email (nicolas.martinet@lam.fr) by the closing date (December 5). Please contact Nicolas Martinet by email (nicolas.martinet@lam.fr) for any question relative to this job offer.

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