Ai / Ml Intern For Computational Fluid Dynamics (6 Months)

Cadence

Brussels, Belgium
Not specified
Strong python programming skills
Modern ml frameworks experience
Cfd fundamentals knowledge
Cadence is seeking an AI/ML Intern for a six-month position focused on Computational Fluid Dynamics (CFD) applications in automotive aerodynamics in Brussels, Belgium. The role involves benchmarking machine learning approaches to enhance CFD workflows, with candidates expected to have a strong foundation in engineering and computational methods

Job Summary

  • This internship focuses on benchmarking data-only and physics-informed machine learning approaches for steady RANS external aerodynamics.
  • The role involves implementing and training data-driven surrogates while prototyping physics-informed training methods to compare against existing setups.
  • Candidates will deliver a reproducible benchmarking repository, technical report, and slides summarizing results and recommendations for accelerating design exploration.

Matching Summary

Match Score: 85

Cadence is seeking an AI/ML Intern for a six-month position focused on Computational Fluid Dynamics (CFD) applications in automotive aerodynamics in Brussels, Belgium. The role involves benchmarking machine learning approaches to enhance CFD workflows, with candidates expected to have a strong foundation in engineering and computational methods.

Skills & Requirements

Must-have

  • Strong Python programming skills
  • Modern ML frameworks experience
  • CFD fundamentals knowledge
  • Geometric data processing experience

Nice-to-have

  • Physics-informed ML exposure
  • Operator-style models familiarity
  • Literature survey capabilities

Key Requirements

  • Master's or final-year bachelor's degree in engineering or CS
  • Familiarity with Navier-Stokes and turbulence concepts
  • Experience with meshes, point clouds, or surfaces

Work Rights

Not specified

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