Machine Learning for Cosmology with Galaxy Clusters

Post-doctoral position : Machine Learning for Cosmology with Galaxy Clusters
At: LERMA-Observatory of Paris, 77, Avenue Denfert-Rochereau, Paris

Duration 12 months+ 12 months

Start date: from Oct 1st, 2019, and no later than Jan 1st 2020

We are searching for a postdoctoral fellow to apply machine learning and deep machine learning techniques to optimally extract cosmological parameters with galaxy clusters detected from large-scale surveys.
This position benefits from joint scientific supervision at the Observatoire de Paris and the Ecole Normale Supérieure, in collaboration with the startup LightOn.
Profile: Due to the interdisciplinary nature of the topic, the candidate is expected to hold either a PhD in Astrophysics, with good programming and algorithmic skills, or a PhD in Machine Learning, and interest in applying these techniques to physical data and models. Being able to program in Python is required.

To apply, please send a motivation letter, a curriculum vitae including a list of publications, and three recommendation letters to Simona Mei, at the email address below, with subject 'ML-Clusters'

We will start reviewing applications as they arrive, and will start interviewing on September 9th 2019.