Postdoctoral position in deep learning for weak gravitational lensing

The CEA Saclay astrophysics department (DAp) invites applications for a postdoctoral position in cosmology. The successful candidate will work with Dr. Martin Kilbinger and Dr. Samuel Farrens on weak-gravitational lensing, and develop cutting-edge machine- and deep-learning methods for galaxy shape measurement. This position is funded by the inter-discplinary ANR project AstroDeep (PI: Eric Aubourg). The successful candidate will join the AstroDeep team that gathers experts in cosmology, weak lensing, deep learning, data mining, Bayesian neural nets, and other related fields. The objective of this postdoctoral research is to identify and develop well-suited machine-/deep-learning tools to solve problems of weak-lensing data processing for the upcoming large cosmological surveys Euclid and LSST. Existing ground-based data from the UNIONS/CFIS survey is available to test the methods developed in this project. The successful candidate will have the opportunity to join the Euclid and UNIONS/CFIS consortia.

The candidate should hold a PhD in either physics/astrophysics, engineering, mathematics or computer science. Candidates with either a scientific or technical background are welcome to apply. Our group is committed to diversity and equality, and encourage applications from women and underrepresented minorities. We support a flexible and family-friendly work environment. The position includes an internationally competitive salary and generous travel budget. French language skills are not required. Applicants should send a CV and research statement to Martin Kilbinger and Samuel Farrens, and arrange for three reference letters to be sent to the same email address before the application deadline.