R&D: Simulation and Test & Development Industrial Placements

Overview

Research & Development:
Simulation and Test & Development Industrial Placements

Brackley, United Kingdom

Build your skills. Make an impact. Race towards excellence.

Every dream needs a team.

Join the Research and Development Department as we take on the challenge of Formula One’s exciting new era of sustainable technical regulations.

By spending your year in industry with us, you will:

• Apply your learning in one of the most technically demanding global sports
• Take on responsibility as you are supported and trained throughout your year
• Join us for a year-long placement from the end of June 2026 to the end of July 2027
• Work in a fast-paced environment at our state-of-the-art factory in Brackley, United Kingdom
• Be an integral part of a cohort of students working across all functions of our team

We are offering two Research and Development placements within our team:

• R&D Simulation Placement – providing simulation and analysis support across all areas of the car, from Powertrain and Mechanical to Composites and Electronics
• T&D Engineering Placement – providing engineering support to the T&D laboratory during test events or through capability development projects

Whichever placement you join, you will be contributing directly to understanding of car behaviour, supporting track and test events, and helping the team make better engineering decisions.

• Using a wide range of data analysis tools and techniques to investigate car behaviour and anomalies
• Coding in MATLAB and Python to deliver and maintain automated data processing, analysis and visualisation methods
• Developing new techniques to proactively identify future opportunities and concerns
• Supporting race and test events from Mission Control, monitoring the health and performance of Powertrain and Mechanical systems
• Devising and following experiments for customers across the business, analysing experimental data acquired in the lab, on the dyno, or directly from the car
• Improving our testing or measurement capabilities to ensure accurate and reliable data
• Owning feedback loops for analysis methods – working on immediate containments for issues and developing long-term countermeasures

• Be currently studying a degree relevant to engineering (e.g. Mechanical, Automotive, Aeronautical, Mechatronics, Electronics, Physics)
• Have at least one year remaining on your current course or be enrolled on your next course
  * from the point at which you start your placement with us (Please note that if you will be enrolled on a Masters or PhD course you will need to be able to evidence enrolment to confirm eligibility)
• Be curious, committed to continuous learning and able to adapt quickly to change
• Take full ownership of their work, driving projects forward with initiative and independence
• Show determination and resilience when facing challenges

• Hands-on experimental experience.
• Experienced in data analysis and problem-solving using data.
• Demonstrable interests outside your course that are relevant to the placement.
• Skills in one or more of the following would be beneficial:
• Data analysis, instrumentation, and sensors.
• Programming (Python and/or MATLAB)
• Dynamic simulation (e.g. Simulink, Dymola, AMESim)
• CFD (e.g. Fluent, nano
  
  Fluid
  
  X, Particle Works)
• Practical experience with motor/electric vehicles (Formula Student, volunteering or racing in a series, building a kit car)
• Track record in outreach activities (volunteering, charity work, mentoring).
• Strong communication skills, with the ability to present data in accessible formats to a wide range of stakeholders.

• Analysing live and logged data to draw conclusions on system health
• Enhanced programming skills in Python and MATLAB to understand and help to solve complex engineering problems
• Knowledge of car systems, test methods and rig capabilities in a motor sport environment
• Understanding experimental testing procedures and measurement capabilities
• Planning experiments with data quality in mind and applying the latest sensor technologies
• Interpreting and visualising data, relating it to underlying physics and presenting…