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CAE ANALYST – CFD, Thermal


JOB DESCRIPTION

  • Perform Complex CFD and Thermal analysis on automotive and other new technologies at the System and Detailed level using compressible and incompressible flow models
  • Make recommendations on design improvements and modifications.
  • Publish CAE reports and documentation for each analysis.
  • Communicate with simulation leadership and application/technology stakeholders
  • Verify and validate CAE models with physical experimental results and field data.
  • Learn and utilize new CAE techniques to improve efficiency and proficiency.
  • Learn new CAE techniques for new CAE applications
  • Develop/maintain CAE project library.
  • Maintain quality standards.
  • Contribute to new technology designs
  • Lead simulation driven design philosophy in cross functional teams


QUALIFICATIONS

  • Strong knowledge of Computational Fluid Dynamics techniques, Thermal modeling and numerical methods in general, Eulerian and Lagrangian multi-phase flows (minimum M.Sc. level or equivalent, Ph.D. preferred).
  • Knowledge of fluid machinery (both compressible and incompressible flows)
  • Ability to apply Multiphysics techniques to wide array of problems (multi-phase, fluid-structure interaction, conjugated HT thermal flows)
  • Strong background in fluid dynamics, thermodynamics, and heat transfer process, and their application within the automotive thermal management system, with ability to apply engineering judgement to simulations and test data.
  • Simulation Driven design understanding
  • Practical knowledge of automotive related products
  • Sc. (or Ph.D.) degree in Engineering or equivalent


Specific Knowledge and Experience in any of the following will be a plus

  • Porous media, multi-species, magnetics, chemically reactive flows
  • Parallel computing, Unix shell, Python
  • 3D CAD solid modelling experience (SolidWorks)
  • Altair Suite (HyperMesh, Hyperworks CFD X, Acusolve, SimLab, NanoFluidX, Hyperstudy), ANSYS Fluent, CFX, GT Suite
  • DOE, Reduced Order Models, Machine Learning, IoT
  • Engineering flow-bench testing

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