PhD position on deep learning cosmic shear

Submission Information
Publish Date: 
Monday, October 24, 2022
Archive Date: 
Monday, December 5, 2022
To event remaining 2 days
Job Summary
Job Category: 
Pre-doctoral/Graduate Positions
Institution Classification/Type: 
Foreign
Institution/Company: 
Laboratoire d'Astrophysique de Marseille (LAM)
City: 
Marseille
State/Province: 
Provence
Country: 
France
Announcement
Job Announcement Text: 

We are opening a doctoral position at the Laboratoire d'Astrophysique de Marseille (LAM) to work on the development of deep learning techniques for cosmic shear analyses. This three-year position is part of the PISCO (PIxelS to COsmology) grant funded by the Agence Nationale de la Recherche (ANR). The selected PhD candidate will mainly focus on measuring the gravitational distortion of galaxy shapes (called the shear) directly from galaxy images, using convolutional neural networks (CNN). He/she wil develop the galaxy image simulation and CNN architecture with the goal of applying these techniques to the Euclid satellite that should be launched at the beginning of the thesis.

The successful candidate will join the Galaxy and Cosmology (GECO) team at the LAM and work closely with Nicolas Martinet and Stéphane Arnouts. He should also join the Euclid Consortium and collaborate with the Organizational Unit SHEar for the image simulation and shear calibration tasks. 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, their master grades, and a one-page cover letter on the CNRS portal (https://emploi.cnrs.fr/Offres/Doctorant/UMR7326-ANAMEK-054/Default.aspx?...) and should arrange for one letter of recommendation to be uploaded on the same website by the closing date. The starting date is scheduled for Autumn 2023. A master internship is also possible in 2023 as a first step to the thesis, but not required.

Application Deadline: 
Monday, December 5, 2022
Selection Deadline: 
Tuesday, January 31, 2023
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
Nicolas Martinet
Inquiries About Job
Attention To: 
Nicolas Martinet