Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : Lab of Mathematics Nicolas Oresme
Durée : 36 months
Contact : faicel.chamroukhi@unicaen.fr
Date limite de publication : 2018-12-31

Contexte :
This research will be performed in the framework of the ANR project SMILES: Statistical Modeling and Inference for unsupervised Learning at largE-Scale

Sujet :
Please see the attached pdf file for the description of the subject

Profil du candidat :
Required profile: Successful candidates should have a master degree in mathematical/statistical
sciences, Machine learning, statistical signal processing, or a closely related area, and strong skills
in statistical inference and in programming with Matlab and/or R and/or Python. The PhD thesis
as well all the research reports/papers will be written in English. So strong skills in English writing/
speaking are needed. Expected skills include unsupervised learning, model-based clustering,
and distributed large-scale algorithms computing. International applications are welcome to join
our international team (there is no any required French skills). For candidates who wish to learn
French, free courses are offered by the university/the doctoral school to foreign students.

Formation et compétences requises :
Successful candidates should have a master degree in mathematical/statistical
sciences, Machine learning, statistical signal processing, or a closely related area,

Adresse d’emploi :
Université de Caen, Laboratoire de Mathématiques Nicolas Oresme, Normandie

Document attaché : PhD-ANR-SMILES.pdf