Stage de fin d'étude en Modélisation et IA pour le monitoring ultrasonore-Saclay-H/F

Descrizione del lavoro:

Description du poste

Domaine

Mathématiques, information scientifique, logiciel

Contrat

Stage

Intitulé de l'offre

Stage de fin d'étude en Modélisation et IA pour le monitoring ultrasonore-Saclay-H/F

Sujet de stage

Physics-Informed Deep Learning for elastic wave propagation and scattering simulation

Durée du contrat (en mois)

6 mois

Description de l'offre

As an intern at the CEA, you will have the opportunity to work within a world-renowned research environment. Our teams consist of passionate and dedicated experts, providing an ideal setting for learning and collaboration. You will have access to state-of-the-art equipment and top-tier research resources to carry out your assignments. The work conducted may potentially lead to a scientific publication

The internship aims at developing innovative models for elastic wave propagation and scattering from obstacles using Physics-Informed Deep Learning methods (that can explicitly incorporate wave equations). These algorithms can be trained either without a database by minimizing a loss function related to the problem's physical equations and boundary conditions, or additionally using numerically simulated results. The developed models could then be compared to other existing analytical or numerical models for different configurations useful for Non-destructive Testing and including obstacles encountered by the wave.

#Cea-List

Profil du candidat

Fin études ingénieur / Master 2 ; mécanique /acoustique /mathématiques appliquées/ data science.

In accordance with the commitments made by the CEA to promote the integration of disabled people, this job is open to all. The CEA proposes arrangements and/or organizational possibilities for the inclusion of disabled workers.

Localisation du poste

Site

Saclay

Localisation du poste

France, Ile-de-France, Essonne (91)

Ville

Saclay

Critères candidat

Langues

Anglais (Courant)

Diplôme préparé

Bac+5 - Master 2

Formation recommandée

Fin études ingénieur / Master 2

Possibilité de poursuite en thèse

Non

Demandeur

Disponibilité du poste

01/03/2027