Intern, Computational Aerodynamics - Advanced Aerodynamics (Winter 2027)

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).