F1 Race Engineering Internship: Trackside Analytics

Van Amersfoort Racing

Enstone

On-site

GBP 18,000 - 25,000

Full time

3 days ago
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Benefits offered by this job

Private medical healthcare
On-site gym
Fully catered restaurant with daily"s"

Job summary

Alpine Formula One Team is seeking a Race Engineering Student on a 1-year placement based at Enstone. You will support the track from our Race Ops facility, collaborating with race and performance engineering, race strategy, and analytics teams to deliver data-driven insights during events.

You will develop and apply tools for data analysis, assist with pre-event simulations and post-event reporting, and contribute to future tool ideas while learning the day-to-day operations of a Formula One

Qualifications

  • Currently studying a degree in Mechanical, Automotive, Aerospace, Motorsport Engineering, Data Science or Analytics and looking for an industry placement as your penultimate year.
  • Strong analytical and problem-solving skills.
  • Proficiency with Excel, Python or MATLAB is required.
  • Ability to perform under pressure and adapt quickly.

Responsibilities

  • Event preparation, collating relevant past data and pre-event simulation
  • Provide analysis during race weekends, both real-time in session support and post session
  • Assist in post event reporting ranging from strategy and pitstops to competitor analysis
  • Assist in developing our current tools and processes, plus contribute to future tool ideas

Skills

Analytical skills
Problem-solving
Work under pressure

Education

Mechanical engineering (or related) degree fields

Tools

Excel
Python
MATLAB

Job description

Alpine Formula One Team is seeking a Race Engineering Student on a 1-year placement based at Enstone. You will support the track from our Race Ops facility, collaborating with race and performance engineering, race strategy, and analytics teams to deliver data-driven insights during events.

You will develop and apply tools for data analysis, assist with pre-event simulations and post-event reporting, and contribute to future tool ideas while learning the day-to-day operations of a Formula One

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