Vehicle Dynamics & Data Analytics - Student Placement

Motorsport Network, LLC; Milton Keynes; Hybrid; GBP 18,000 - 24,000; Full time

Benefits offered by this job

Daily food allowance

Free gym access

Fitness classes

Discounts with partners

Free coffee

Unlimited Red Bull

Job summary

Red Bull Technology is offering Industrial Student Placement positions within the Vehicle Performance Group. Two placements are available in the Suspension and Simulation Performance teams for students in Mechanical, Aeronautical or Automotive Engineering, or STEM-based courses with an interest in vehicle performance and data analysis.

The placements run for one year starting Summer 2027. Applicants should have at least one year of study remaining and will gain exposure to predictive analytics,

Qualifications

• Excellent mathematical and analytical skills.
• In-depth knowledge of vehicle dynamics principles.
• Experience with programming/data-science (Python would be particularly advantageous).
• Good written and face-to-face communication.

Responsibilities

• Providing predictive performance analysis prior to each event, and for longer-term goals like future car concepts.
• Validating models against track data and developing them to improve accuracy.
• Supporting real-time and ad-hoc data analysis of race and test events, including through Race weekends in the Red Bull operations room.
• Developing automated routines and processes for data analysis and metrics generation to improve our efficiency.
• Utilising design-of-experiments methods and existing toolsets to explore the vehicle design space.
• Improving the visualisation of data so that the wider company can quickly and accurately understand our conclusions.

Skills

Mathematical analysis

Vehicle dynamics

Data analysis

Written and verbal communication

Tools

Python

Job description

Red Bull Technology is offering Industrial Student Placement positions within the Vehicle Performance Group. Two placements are available in the Suspension and Simulation Performance teams for students in Mechanical, Aeronautical or Automotive Engineering, or STEM-based courses with an interest in vehicle performance and data analysis.

The placements run for one year starting Summer 2027. Applicants should have at least one year of study remaining and will gain exposure to predictive analytics,