The French National Research Agency is opening two 2-year postdoctoral positions in observational cosmology for the “DEEPDIP” project, a deep learning oriented collaboration between LAM (Marseille), CCPM (Marseille), TETIS (Montpellier) and IAP (Paris).
The present position is offered at the Centre de Physique des Particules de Marseille (CPPM), to work on observational cosmology with the supernova probe in view of exploiting the upcoming LSST data.
The candidate will focus her/his work on developing deep learning methods to classify supernovas from lightcurves and images. A main goal is to mitigate the systematic errors affecting the measurement of the dark energy equation of state. The work will benefit from an ongoing collaboration that has already paved the way for the classification of light curves and the estimate of photometric redshifts via pioneering deep learning techniques.
CPPM is affiliated with the SNLS and SNFactory supernovae projects, with the Boss and eBoss spectroscopic surveys, and with the upcoming LSST and Euclid missions.
Required qualifications: PhD in physics, astronomy or data science; experience in machine learning preferred.
Applicants should send their CV, research summary, list of publications and a letter of interest to D. Fouchez (firstname.lastname@example.org), as well as three reference letters.