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Intern, Computational Aerodynamics - Advanced Aerodynamics (Winter 2027)

  • Dorval, QC, Canada

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Job details

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Posting language
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Original job description

Innovation is in our DNA… is it in yours?

Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.

Your boarding pass will include…

Several conferences, including:

  • Meet An Executive
  • Women Taking Flight


Learning more about Bombardier, including:

  • Bombardier Products conference
  • Visits of the Bombardier sites
  • Bombardier Academy of Learning


Many social/networking opportunities, including:

  • Volunteering
  • Networking for Success
  • 5 à 7, Potluck, and much more!


What are your contributions to the team?

  • Investigating and deriving high-order quadrature formulations for Flux Reconstruction (FR) methods on a variety of element types
  • Performing theoretical and numerical studies of integration accuracy, polynomial exactness, and computational efficiency for high-order discretizations
  • Developing unit tests and prototype implementations to evaluate and validate newly derived quadrature formulations
  • Conducting numerical experiments to assess the impact of quadrature choices on solution accuracy, stability, and convergence
  • Supporting research activities related to high-order methods for aerodynamic simulation and analysis
  • Comparing and benchmarking newly developed approaches against existing quadrature techniques reported in the literature


How to thrive in this role?

  • You are currently enrolled in a Canadian academic institution for a master’s or PhD degree in engineering;
  • You have theoretical knowledge of numerical methods, high-order discretizations, and CFD methods;
  • You have experience developing Python and C/C++;
  • You have experience with both Linux and Windows operating systems, and High Performance Computing (HPC) environments;
  • You have good communication skills in both French and English;
  • You are eligible to work in Canada on Defense programs (CGD/ITAR security clearance).


Boarding Information:

  • Location: Administrative Centre (CA)
  • Duration: 8 months
  • Flexible workplace-Hybrid


It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose.
More about this job

Responsibilities

Derive and evaluate high-order quadrature formulations for Flux Reconstruction methods, studying their accuracy, polynomial exactness, efficiency, stability, and convergence. Develop tests and prototypes, conduct numerical experiments, and benchmark new approaches against existing techniques to support aerodynamic simulation research.

Requirements

Applicants must be enrolled in a master's or PhD program in engineering at a Canadian academic institution and have theoretical knowledge of numerical methods, high-order discretizations, and CFD. Experience with Python and C/C++, Linux and Windows, and HPC environments is required, along with communication skills in French and English and eligibility to work on Canadian defense programs requiring CGD/ITAR clearance.

Skills

  • Computational Aerodynamics
  • Flux Reconstruction Methods
  • High-Order Quadrature
  • Numerical Methods
  • High-Order Discretizations
  • Computational Fluid Dynamics
  • Python
  • C
  • C++
  • Linux
  • Windows
  • High-Performance Computing
  • Numerical Analysis
  • Unit Testing
  • Aerodynamic Simulation

Visa sponsorship

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Categories

  • Engineering
  • Science & Research
  • Transportation

Keywords

  • Computational Aerodynamics
  • Advanced Aerodynamics
  • Flux Reconstruction
  • High-Order Quadrature
  • High-Order Discretizations
  • Numerical Methods
  • Computational Fluid Dynamics
  • Polynomial Exactness
  • Integration Accuracy
  • Computational Efficiency
  • Unit Testing
  • Prototype Implementation
  • Numerical Experiments
  • Solution Accuracy
  • Stability
  • Convergence
  • Aerodynamic Simulation
  • Benchmarking
  • Python
  • C
  • C++
  • Linux
  • Windows
  • High-Performance Computing
  • CGD
  • ITAR

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