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Field
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Lecturer MECH 546 - Finite Element Methods in Solid Mechanics (3 credits) Teaching Qualification Requirements: Minimum of Ph.D. in Mechanical Engineering. Minimum of three years’ experience teaching or in
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
., & Sen, M. K. (2007). Grid dispersion and stability criteria of some common finite‐element methods for acoustic and elastic wave equations. Geophysics. Chaljub, E., et al. (2007). Spectral element analysis
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
coupling with adaptive meshes. High-order spectral finite element methods (SFEM) offer superior accuracy per degree of freedom and are naturally suited to HPC architectures (CPU/GPU clusters). Two main
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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conventional simulators. Finite element-based methods such as Mixed-Finite-Element or Control-Volume methods are convenient thanks to their suitability for complex unstructured grids. Applications are sought
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Simulating Composite Fracture by the Extended Finite Element Method School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
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(or be near completion), with established expertise in Computational Mechanics, Constitutive Modelling, and the Finite Element Method. Informal enquiries may be addressed to Prof. Laurence Brassart
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-physics systems, particularly thermal-mechanical analysis in metal additive manufacturing. Familiarity with finite element/finite volume methods, high-performance computing, and simulation data processing
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, finite element analysis, programming and numerical methods. Applicants are expected to have achieved a First class (or, in special cases, an upper-class, 2:1) honours MEng/MSc degree or equivalent in
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. Candidates are expected to have a strong background in at least one of the following areas: numerical analysis and/or simulation methods for PDEs (in particular finite volume or finite element methods