Cadillac F1 Team
12-Month Aerodynamics AI Industrial Placement
2nd Year, 3rd Year
30 Jan 2026
Data & AI
Overview
This industrial placement offers students the opportunity to work within Cadillac F1 Team's Aerodynamics department. The role involves using artificial intelligence and machine learning to analyze complex aerodynamic data and contribute to car performance development, providing hands-on experience in a high-performance engineering setting.
Cadillac F1 Team represents General Motors' ambitious plan to enter the FIA Formula One World Championship, in collaboration with Andretti Global. Cadillac's involvement seeks to showcase its high performance capabilities and engineering prowess on a global stage.
Opens: 26 Jan 2026; Closes: 30 Jan 2026
The programme is a full-time, 12-month industrial placement, typically running from September to August. The location would be at the Cadillac F1 Team's technical centre, likely in the UK.
Industrial placements at F1 teams are typically paid, offering a competitive salary for undergraduate students.
Suitable for students currently enrolled in a STEM degree, particularly those with a strong background or interest in AI, Machine Learning, Aerodynamics, or related engineering fields, who are seeking a placement year as part of their degree. Applicants must have the right to work in the UK.
The application process generally involves submitting a CV and cover letter, followed by online assessments (aptitude tests), technical interviews, and potentially an assessment centre.
F1 industrial placements are highly competitive due to the prestige and limited number of positions available. Cadillac F1 Team would likely receive a large volume of applications for this specialized role.
This placement provides invaluable experience in a cutting-edge field with a world-renowned motorsport team, enhancing a student's CV with practical skills in AI, data analysis, and engineering in a high-pressure environment.
Heads up
Dates can shift each year. Always confirm the live deadline on the provider's own page before you apply.