Apologize for multiple posting.
We are seeking for a PhD candidate interested to apply machine learning methods on large astrophysical datasets. The main challenge is to develop new tools to study star formation in the Galaxy. Such tools include classical ML methods, but also deep learning methods suited to heterogeneous Big Datasets.
The PhD subject has been pre-selected for funding by Institut Archimède from Aix Marseille Université.
The selected candidate will defend the project in visioconference between July 14 and July 17 2020. The success rate is 50%.
If you are interested please send contact the PhD supervisors François-Xavier Dupé (Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo. , LIS) and Annie Zavagno (Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo., LAM) by sending before June 28 2020:
a CV
Marks and ranking since the first University years
If successful the PhD will take place at Aix-Marseille Université (Marseille, France) starting in October 2020 (funded for 3 years) with money for conferences.
