Performance Simulation Vehicle Modelling Engineer

·
Full time
Location: Newport
· ·
Category: IT & Technology
An exciting opportunity exists for a Performance Simulation Vehicle Modelling Engineer to join the Performance Simulation Group.

The current Formula One regulations heavily limit real world testing of a F1 car. This makes the role of unregulated simulation indispensable in the development and optimisation of many areas of a Formula One team, particularly in Performance Engineering, where the performance targets for the car design are generated, and the on-track performance of the current season’s car is understood and optimised.

This role will be focused on the development of the Team’s performance vehicle models and simulations, for use trackside, in the simulator and in offline vehicle development settings. Our goal is to produce a portfolio of cutting-edge tools across all simulation use cases. The position will involve cooperation with the Vehicle Performance Group, Simulator Development, Performance Software, Performance Optimisation, Race Engineering, Aerodynamics, R&D and Mechanical Design functions.

Responsibilities:

Development of advanced physical models of a Formula One car and its subsystems.

Development of simulation algorithms that exercise the high-fidelity vehicle model to enable engineers to perform complex analysis.

Researching new or alternative modelling and simulation methodologies to keep the department on the bleeding edge.

Writing readable, maintainable, and efficient code.

Communicating with other departments to deliver projects within the Team.

Candidate Profile: Competitive candidates will meet a range of the following criteria:

Degree in Engineering, Physics, Mathematics, or a related discipline (Masters/PhD preferred).

Strong problem solving and analytical skills.

Motivated by finding creative and practical solutions to complex problems.

Ability to work effectively within a cross-functional team, and with minimal supervision.

Strong interest in topics such as numerical methods, control theory, statistics, computational methods, and nonlinear programming.

Competent with MATLAB and Simulink.

Experience with common programming languages, such as C/C++.

Good understanding of OOP principles.

Experience with Git or other source control tools.

When you click apply, you will be directed straight to an online test, which you will need to complete as your application. All applications will be reviewed once the advert has closed on 15th December 2024.

If you would like to request any reasonable adjustments, please submit the Request for Reasonable Adjustments form at the bottom of this advert and wait for a response via email from our team before you sign up and start the test. The deadline for requesting reasonable adjustments for tests is 15th December 2024.

Embark on a journey with the Aston Martin Aramco Formula One Team to reshape history at our cutting-edge, sustainable campus in Northamptonshire. Combining our rich heritage with innovation, we bring fresh energy to the sport, driven by a commitment to challenge the status quo and dominate the track. With new investment fueling our ambitions, we're seeking talented individuals who share our passion for racing and drive for success.

We are a business that fosters a supportive, inclusive, and compassionate culture, where our team genuinely embodies our core values: Growth, Readiness, Empowerment, Excellence, and Nurturing.

Aston Martin Formula One Team is committed to attracting, recruiting, and retaining the most talented individuals, regardless of age, disability, gender identity, gender expression, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion, belief, sex or sexual orientation. We strive to be a Team that reflects all the communities with which we engage around the world through diversity in the workplace and promoting an inclusive culture in which all team members are respected, empowered and valued.

For more detail, salary and company information, use the apply link.

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