Boeing Engineering & Technology Innovation, Graduate Researcher Program – Computational Fluid Dynamics Intern
Core
Develop aerodynamic analysis and optimization tools and processes to increase fidelity while reducing cycle time and cost for Boeing's commercial and military aircraft.
Role type
PhD-level Computational Fluid Dynamics (CFD) Research Intern
Builds
Aerodynamic analysis tools, CFD prediction capabilities for laminar-turbulent transition
Domain
Aerospace engineering, Computational Fluid Dynamics
Deliverable
production ML models | product features
Required skills
CFD applications, code development (C, FORTRAN, C++), aerodynamic flow-field analysis, scientific programming
Preferred skills
Linux/Unix familiarity, compressible flows, turbulence modeling, numerical methods for unstructured/structured grid CFD, laminar-turbulent flow transition mechanics
Technologies
C, FORTRAN, C++, Linux/Unix
Responsibilities
Develop aerodynamic analysis and optimization tools; Collaborate with CFD developer partners to develop CFD prediction capability for laminar-turbulent transition
Seniority
PhD candidate (1st year completed by July 2027), Research Intern