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Principal Engineer F/H
EY, Ile-de-Paris, FR
Quelles sont les missions ? En tant que Principal Engineer, vous prendrez les rênes techniques, guidant les équipes vers l'excellence et les aidant à bâtir des solutions numériques de qualité. Vous aurez la charge de co-construire la vision technique à long terme pour l'équipe web et serez responsable de l'accompagnement technique et professionnel de 4 Lead Software Engineers. Responsabilités clés : - Travailler avec l'Engineering Director pour piloter l'amélioration continue et la structuration des expertises techniques.- Construire et suivre la roadmap technique, et orienter la veille technologique.- Participer à la mise en place d'un socle technique commun, garant d'homogénéité pragmatique entre les projets.- Coordonner et prioriser les sujets techniques dans le cadre des projets de delivery. Lire la suite Quel est le profil idéal ? Expérience requise : 9 ans d'expérience dans le développement d'applications métier, avec un désir de contribuer à une fonction technique, fonctionnelle et à une structuration organisationnelle d'une équipe d'ingénierie dynamique. - Leadership technique affirmé, haut niveau d'ownership, et une approche pédagogique.- Communication efficace et capacité à travailler de manière asynchrone.- Solide connaissance de l'architecture logicielle et des patterns d'architecture modernes.- Compétence avancée en DevOps et en stratégies de monitoring.- Certification Cloud souhaitable.- Maîtrise de l'anglais à l'écrit comme à l'oral. Environnement Technique : - Maîtrise de Typescript, Nest, Fastify, Next, React, Node, et des connaissances en Java.- Expérience avec Docker, Terraform, ainsi qu'avec des outils de monitoring tels que Kibana, Grafana, et des solutions Cloud telles que Azure, AWS, ou OVH.- A l'aise avec les outils de développement modernes et les bases de données SQL et NoSQL. Lire la suite
Modeling of thermo-hydro-mechanical couplings from pore scale to continuum with SPH method (ref PsD ENV 24-01) )
ABG, Fontenay aux Roses, Ile-de-
EmployeurIRSN is the French public expert in nuclear and radiological risk research and assessment.IRSN is a public industrial and commercial establishment (EPIC) whose missions are defined by law n°2015-992 of August 17, 2015 relating to the energy transition for green growth and whose organization and governance are specified in decree n°2016-283 of March 10, 2016.IRSN is placed under the joint supervision of the ministers in charge of ecology, research, energy, health and defense.The Laboratoire d'étude et de recherche sur les transferts et les interactions dans les sous-sols (LETIS) is located in Fontenay-aux-Roses, near Paris.The laboratory's mission is to implement research programs in the field of waste disposal safety in geological formations. Site web :http://www.irsn.frPoste et missionsIRSN conducts research projects to acquire knowledge and skills, required for safety assessment of the CIGEO project developed by ANDRA (deep geological disposal facility for IL/ILW radioactive waste). It is particularly aimed at understanding and modelling physico-chemical phenomena that are important for the future facility safety. As a significant production of hydrogen is expected inside the future geological repository, this gaseous phase could modify the flows and mechanical conditions of the rock and engineered material. IRSN works on different transfers and perturbations occurring in a disposal and its host-rock, by developing and using a variety of direct simulation codes at several scales. A pore scale Hydro-Mechanical-gas code has been developed, based on Smoothed Particle Hydrodynamics, to study water-gas migration accounting for drying within a deformable solid (elastic with thermodynamical damage model). Within EURAD1 project (2019-2024), approaches to investigate separately the impact of physical processes (mass transfer between phases: drying and condensation, hydromechanical coupling …) involved in gas migration in host rock at the mesoscopic scale were developed.In the frame of EURAD 2 project (2024-2028),we want to implement the coupling between the different physical (THMC) processes involved in gas migration and to upscale results into the continuum scale, to be able to use them for modelling of laboratory experiments from EURAD1. For upscaling process, the work will be conducted within a dedicated work-package HERMES, that will put forward several approaches and make them interoperate. IRSN, in collaboration with GeoRessources (Univ. of Lorraine), proposes to study the THMC couplings in the near- and far-field at the micro and meso scale (order of tens of pores) based on microstructural information obtained from 3D imaging approaches (XRay µtomography, FIB-SEM, …) within EURAD1. In particular, the SPH code will be used to extensively study coupling of water-gas flow with deformation of elasto-damageable solid matrix in in-situ oriented conditions with consideration of temperature dependency of multiphase flow parameters (to be implemented). Taking advantage from increasing capabilities of modern GPUs, we will be able to simulate bigger domains and thus to compute effective properties (e.g., saturation curve, relative permeability, poromechanical properties) and their evolution with time so that an upscaled model could be derived. Dynamics data integration though unified EURAD2 HERMES interface will be implemented as well to simulate small scale experiments and deliver data for code comparisons.Such comparison of our computationally expensive microscale models with macroscale approaches will be used to explore the consequences of usual simplifications and will provide benchmarking and training data for predictive surrogate models. ADDED VALUE FOR CANDIDATE :uncommon simulation method (SPH) used in astrophysics and computer games, international project EURAD2 with plenty of networking opportunities, high performance computingMobilité géographique : NationaleTélétravail : PartielPrise de fonction : 02/01/2025ProfilPhD in numerical fluid and/or solid mechanicsModelling of two-phase flow in porous media, poromechanics, hydro-mechanical coupling, upscaling, Physics Informed Neural Networks (PINNs)