[bull-ia] Offre de thèse CIFRE Réseaux Bayésiens, IA, industrie 4.0 @ Nantes, LS2N, Desoutter

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Bonjour,

L’équipe DUKe (Data User Knowledge) du LS2N, UMR CNRS 6004, est l’une
des principales équipes du laboratoire dans le thème « science des
données et de la décision ».
L’équipe RoMaS (Robots and Machines Manufacturing and Services) effectue
des travaux de recherche concernant la modélisation et l’identification
de robot et de machine, ainsi que l’optimisation de procédés de
fabrication mécanique.

L’entreprise CP – Desoutter est spécialisée dans le développement
d’outillage pour l’industrie. Son Technocentre, situé à Nantes, est
chargé de développer des systèmes de vissage et de perçage à forte
valeur ajoutée.
Dans son challenge Desoutter 4.0, l’entreprise souhaite passer un
nouveau cap et proposer à ses clients de nouvelles fonctions
d’intelligences pour ses visseuses connectées.

Dans ce contexte, nous recrutons pour septembre prochain, un doctorant
CIFRE travaillant sur le développement d’approches hybrides, couplant
les techniques d’Intelligence Artificielle et de Machine Learning
(modèles graphiques probabilistes) à des modèles mécaniques du procédé
et des défaillances de la machine pour la maintenance des moyens de vissage.

Informations plus précises et modalités de candidature dans le document
pdf ci-joint.

Merci d’avance,

PhL

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Philippe Leray
philippe.leray@univ-nantes.fr

Professeur des Universités
Equipe DUKe – Data User Knowledge
Laboratoire des Sciences du Numérique de Nantes

Ecole Polytechnique de l’université de Nantes
La Chantrerie – rue Christian Pauc – BP 50609
44306 Nantes Cedex 3

Tel : 02 40 68 30 38
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