Aero CFD & AI Intern for High-Performance Motorsports

General Motors; Cardiff; Hybride; GBP 21 000 - 26 000; Plein temps

Résumé du poste

GM Motorsports offers a summer internship focused on aerodynamic development, CFD, data processing, and ML applications for high-performance engineering. You may work on surrogate models, CFD workflows, and AI-enabled tools to accelerate analysis.

The role is hybrid and targets collaboration with engineers to deliver tuned aerodynamic solutions while developing technical skills across CFD, ML, and data-driven methods.

Qualifications

• Pursuit of a bachelor's degree in physics, mathematics, aerospace engineering, mechanical engineering, computational science, or closely related field.
• Must be graduating after September 2027 or beyond.
• Able to work fulltime, 40 hours per week during the summer months.
• Demonstrated experience developing CFD surrogate models, reduced-order models, or other data-driven methods for performance prediction or flow-field inference.
• Strong foundation in mechanical design, aerodynamics, CFD, computer vision, 3D generative design, machine learning, or scientific computing.
• Strong analytical and quantitative problem‑solving skills grounded in physical principles.
• Demonstrated engineering capability through research, coursework, or prior technical projects.
• Ability to communicate complex technical findings clearly to specialized and cross‑functional audiences.
• Curiosity, initiative, and a commitment to advancing engineering methods and technology.

Responsabilités

• Develop and improve CFD workflows across CAD preparation, geometry cleanup, meshing, solver execution, post-processing, and automated reporting.
• Develop tools for wind-tunnel aerodynamic testing including test planning, instrumentation, data acquisition, controls, and data processing.
• Develop and validate machine-learning or surrogate models that improve aerodynamic performance prediction and flow-field inference.
• Develop AI-enabled tools that improve engineering productivity, accelerate analysis, and support technical decision-making.
• Collaborate with engineers to define requirements, evaluate results, document methods, and communicate recommendations.
• Projects will be defined by team needs and aligned with the candidate's experience, interests, and development goals.

Connaissances

CFD surrogate models

Data-driven methods

Aerodynamics

CFD

Machine learning

Scientific computing

Analytical skills

Communication skills

Problem solving

Generative design

Formation

Bachelor's degree in physics, mathematics, aerospace engineering, mechanical engineering, computational science, or related field

Outils

CAD

Geometry processing

Meshing

High-performance computing

Engineering data pipelines

Wind-tunnel data instrumentation

Description du poste

GM Motorsports offers a summer internship focused on aerodynamic development, CFD, data processing, and ML applications for high-performance engineering. You may work on surrogate models, CFD workflows, and AI-enabled tools to accelerate analysis.

The role is hybrid and targets collaboration with engineers to deliver tuned aerodynamic solutions while developing technical skills across CFD, ML, and data-driven methods.