We are opening a postdoctoral 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 postdoc 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.
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.
Applicants should submit a CV and a one-page research summary on the CNRS portal (https://emploi.cnrs.fr/Offres/CDD/UMR7326-ANAMEK-055/Default.aspx?lang=EN) and should arrange for 2 letters of recommendation to be uploaded on the same website by the closing date. The starting date is scheduled around Autumn 2023 but is flexible and can be any time in 2023.
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