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phD
Study of inversion methods based on simulation and machine learning for defect characterisation in ultrasonic array imaging
The thesis work is part of the activities of CEA-List department dedicated to Non-Destructive Testing (NDT), and aims to study simulation-based inversion methods to characterise defects from ultrasonic images, such as TFM (Total Focusing Method) or PWI (Plane Wave Imaging) images. The inversion methodology will rely on machine learning algorithms and numerical training databases generated...
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PostDoc
X-ray tomography reconstruction based on Deep-Learning methods
CEA-LIST is developing the CIVA software platform, a benchmark for the simulation of non-destructive testing processes. In particular, it offers tools for X-ray and tomographic inspection which, for a given inspection, can simulate all radiographies, taking into account various associated physical phenomena, as well as the corresponding tomographic reconstruction. CEA-LIST also has an experimental platform...
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phD
High mobility mobile manipulator control in a dynamic context
The development of mobile manipulators capable of adapting to new conditions is a major step forward in the development of new means of production, whether for industrial or agricultural applications. Such technologies enable repetitive tasks to be carried out with precision and without the constraints of limited workspace. Nevertheless, the efficiency of such robots depends...
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PostDoc
X-ray tomography reconstruction based on analytical methods and Deep-Learning
CEA-LIST develops the CIVA software platform, a reference for the simulation of non-destructive testing processes. In particular, it proposes tools for X-ray and tomographic inspection, which allow, for a given tomographic testing, to simulate all the radiographic projections (or sinogram) taking into account various associated physical phenomena, as well as the corresponding tomographic reconstruction. The...
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phD
Microstructural characterization by bulk laser-ultrasounds tomography
The proposed thesis falls into the framework of designing innovative methods in the materials characterization. The thesis aims to develop a new tomographic technique for characterizing microstructures using bulk laser ultrasound. In the state of the art, acoustic methods such as the scanning acoustic microscope and surface wave optoacoustic spectroscopy lead to grain imaging but...
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phD
Smart & Scalable Orchestration to ensure system performance and reliability throughout Cloud Native ecosystems
The Cloud Computing paradigm has brought a new way of building application systems by strongly decoupling applications and the platforms on which they operate. This is particularly thanks to virtualization techniques (virtual machines, containers, and soon WASM) and the associated orchestration technologies (OpenStack, Kubernetes, and CloudWASM), which make it possible to port, deploy, and manage...
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phD
High speed/High capacity distributed Fiber Bragg Grating sensing technique for Structural Health Monitoring (SHM) applications
Schedule-driven Non-Destructive Evaluations (NDE) are carried out during structure/equipment’ life to detect major degradations endangering safety and impairing service availability. In addition to NDE, Structural Health Monitoring (SHM) involves the use of in-situ Fiber Bragg Grating (FBG) sensing systems and algorithms to evaluate structure worthiness. FBGs are mostly used as strain/temperature sensors but are also...
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phD
Simulation of ultrasonic waves interaction phenomena with metal microstructure for imaging and characterisation purposes
The interaction of waves with matter is highly dependent on the frequency of these waves and the scale of their wavelengths in relation to the properties of the medium under consideration. In the context of ultrasound imaging applications, particularly concerning metals, the scales considered are generally on the order of a millimeter (ranging from a...
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phD
Study and exploitation of Barkhausen noise spectral information for the characterization of steels
The use of magnetic Barkhausen noise (MBN) measurements for assessing the structural health of magnetic materials has become an important industrial technique the last years. The interest in the application of this technique stems from the strong dependence of the MBN signals on the material microstructure as well as its stress level and its chemical...
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Fixed term contract
Ingénieur·e de recherche extraction d'information et data science H/F
Le LASTI vous invite à rejoindre son équipe pour prendre part à des projets de recherche et développement dans des domaines comme le manufacturing, la santé…. Dans le domaine de la santé, parmi les objectifs des projets en cours nous pouvons citer : le développement d’une méthodologie outillée pour la conception et le déploiement de « jumeaux numériques...
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Fixed term contract
Ingénieur en traitement automatique de la langue - CDD 18 mois - Paris-Saclay F/H
« Rejoignez le CEA pour donner du sens à votre activité, mener et soutenir des projets de R&D nationaux et internationaux, cultiver et faire vivre votre esprit de curiosité. » EN SYNTHESE, QU’EST-CE QUE NOUS VOUS PROPOSONS ? Dans le cadre du développement de ses activités pour l’amélioration du traitement des données en particulier...
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Fixed term contract
Engineer in Software for Industry of the Future
The Fourth Industrial Revolution, or Industry 4.0, is the current transformation of traditional manufacturing and industrial practices with the latest smart and digital technologies. Interoperability is the basis of Industry 4.0 and guarantees open and pluralistic markets. It enables systems, devices, and applications to communicate with one another and work together seamlessly. Open standards are...
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Fixed term contract
Ingénieur Chercheur en Vision et Deep Learning - CDD - Paris-Saclay F/H
« Rejoignez le CEA pour donner du sens à votre activité, mener et soutenir des projets de R&D nationaux et internationaux, cultiver et faire vivre votre esprit de curiosité. » EN SYNTHESE, QU’EST-CE QUE NOUS VOUS PROPOSONS ? Le CEA recherche un(e) Ingénieur Chercheur en Vision et Deep Learning pour la CEA/DRT (Direction de la Recherche...
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Work-study contract
Alternance Robotique CIVA et jumeaux numériques
Le Laboratoire de Génie Logiciel du CEA-LIST développe la plateforme de simulation CIVA qui permet de modéliser les phénomènes physiques des contrôles non destructifs pour les principales techniques (ultrasons, courants de foucaults, thermographie et radiographie). CIVA est leader mondial dans le domaine et est commercialisé par la société Extende dans plus de 40 pays (https://www.extende.com/fr/civa-en-quelques-mots...
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