Machine Learning techniques have revolutionized artificial intelligence. Their application to astrophysics and cosmology permits us to analyze the large quantity of data obtained with current surveys and expected from future surveys with the aim of improving our understanding of the cosmological model.

We will explore machine learning and Bayesian deep machine learning techniques to optimally detect galaxy clusters  in large-scale surveys.

This internship will be hosted by Cosmology group at the Astroparticle and Cosmology (APC) laboratory, in Paris.
 

Future ambitious CMB observations aim at pushing back the frontiers of our understanding of the universe we live in and of fundamental particles and interactions. The CMB-S4 ground-based observatory, which will be deployed at the South Pole in Antarctica and in the Atacama desert in Chile, will constrain models of cosmic inflation with unprecedented precision by looking for the signature of primordial gravitational waves in CMB polarization.