Graduate/Intern Simulation Engineers in Applied Computational Science and Engineering
Solve complex multi-scale science and multi-physics engineering problems
Implement applied mathematics, physics, and materials principles to simulate and analyse performance of alloys and additively manufactured components developed for automotive, aerospace, space, electronics, consumer products, and biomedical devices
Become equipped in advanced computational techniques: multi-physics PDEs / FEA / CFD / BEM, atom-to-continuum multi-scale simulations, constitutive modelling, multi-objective optimisation, surrogate modelling, machine learning and data science in engineering
Develop software tools for multi-scale and multi-physics simulations, and digital twins
Completed masters or PhD degrees, or be near completion for interns, in a field related to applied computational science and engineering, computational solid or fluid mechanics, integrated computational materials engineering, machine learning, data science and computer science applications in engineering
Proficient in programming using Python, Matlab, Fortran, Matlab, C#, or C++
Well-versed in the development of APIs, subroutines, or automation scripts for simulations
Experience in the development of validation strategy through experimental approach
Experience in contributing actively and creatively to solving complex science and engineering problems
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