Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : LIFAT EA 6300, Université de Tours
Durée : 4 to 6 months
Contact : nicolas.ragot@univ-tours.fr
Date limite de publication : 2024-03-04

Contexte :
This internship takes place in the JUNON Project (directed by the BRGM) which goal is to elaborate digital services through large scale digital twins in order to improve the monitoring, understanding and prediction of environmental resources evolution and phenomena, for a better management of natural resources.

Sujet :
The goal of this internship will be to analize data and to build prediction models about pollutants and greenhouse gases using meteorological data as well as measurements of pollutants observed in the past (other factors could also be included).

see: http://www.rfai.lifat.univ-tours.fr/internship-position-master-2-in-artificial-intelligence-machine-learning-data-analysis-for-time-series/

Profil du candidat :
Academic level equivalent to a Master 2 in progress or Engineer in its 5th year, in computer science

Formation et compétences requises :
– a good experience in data analysis and machine learning (in python) is required
– some knowledge and experiences in deep learning and associated tools will be highly considered
– some knowledge in time series analysis and forecasting will be highly considered
– curiosity and ability to communicate and share your progress and to make written reports
– ability to propose solutions
– autonomy and good organization skills

Adresse d’emploi :
LIFAT, 64 Avenue Jean Portalis, 37200 TOURS

Document attaché : 202402011448_Fiche de poste stage Junon.pdf