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For Companies At a Glance
- Tasks: Develop models of powertrain systems using Modelica and enhance performance through innovative engineering.
- Company: Join the Alpine F1 Team, a leader in motorsport innovation and engineering excellence.
- Benefits: Enjoy competitive packages, private healthcare, an on-site gym, and a subsidised restaurant.
- Why this job: Be part of a vibrant team impacting global race car performance in a collaborative environment.
- Qualifications: Master's degree in Mechanical or Automotive Engineering; experience in powertrain systems is essential.
- Other info: We celebrate diversity and welcome applicants from all backgrounds to foster an inclusive workplace.
The predicted salary is between 48000 - 84000 £ per year.
Overview
Are you ready to accelerate your career with a dynamic and innovative F1 team? Join a dynamic and innovative F1 team as a Modelling Methodology Powertrain Engineer within the Modelling Methodology group of the Engineering Office at Enstone. This position will play a crucial role in helping us achieve podiums and race wins.
Our team is dedicated to engineering excellence, pushing the boundaries of technology and optimising performance to achieve our goals. We are built on collaboration and mutual support, fostering a vibrant, inclusive culture where your ideas and contributions are valued.
Responsibilities
- Develop models of powertrain and, in general, multibody systems using primarily the Modelica language.
- Apply a strong understanding of controls and modal analysis to modelling activities.
- Demonstrate an interest in automation, scripting, and coding (MATLAB and Python).
Who We Want
- We are looking for someone who is looking to build their career within F1.
- Experience in powertrain systems, either through a similar role or a PhD.
- The ideal candidate will ideally be educated to master’s degree level or equivalent within Mechanical Engineering, Automotive Engineering, or a related field.
- You should have a deep understanding of high-frequency torsional analysis and powertrain dynamics.
- Proficiency in simulation software such as Dymola and/or Simulink and in scripting with Python and MATLAB is required.
What We Offer
- Working for Alpine F1 Team means collaborating with a talented team, directly impacting race car performance on a global stage, and enjoying state-of-the-art facilities.
- Competitive remuneration packages, private medical healthcare, access to a free on-site gym, a subsidised restaurant, and many additional benefits.
- Opportunities for career development in a collaborative, inclusive environment.
Join Us
At Alpine F1 Team, we celebrate diversity and strive to create an inclusive environment where everyone can be their true selves. We welcome individuals from all backgrounds, ethnicities, cultures, and experiences. We are committed to leading by example in promoting diversity, inclusion, and belonging in our society.
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Modelling Methodology Powertrain Engineer employer: Alpine
Contact Detail:
Alpine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Modelling Methodology Powertrain Engineer
✨Tip Number 1
Familiarise yourself with the Modelica language and its applications in powertrain modelling. Consider working on personal projects or contributing to open-source projects that utilise Modelica to showcase your skills.
✨Tip Number 2
Network with professionals in the F1 industry, especially those involved in powertrain engineering. Attend relevant conferences or workshops to meet potential colleagues and learn about the latest trends and technologies.
✨Tip Number 3
Stay updated on advancements in simulation software like Dymola and Simulink. Consider taking online courses or certifications to enhance your proficiency, which will make you a more attractive candidate.
✨Tip Number 4
Demonstrate your passion for motorsport and engineering during interviews. Share specific examples of how your background in powertrain systems aligns with the goals of the Alpine F1 Team, showing that you're not just qualified but also genuinely enthusiastic about the role.
We think you need these skills to ace Modelling Methodology Powertrain Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in powertrain systems, modelling, and any specific software like Dymola or Simulink. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for F1 and engineering excellence. Mention specific projects or experiences that relate to the role, especially your skills in Modelica, Matlab, and Python.
Showcase Your Technical Skills: In your application, emphasise your technical skills, particularly in controls, modal analysis, and high-frequency torsional analysis. Provide examples of how you've applied these skills in previous roles or projects.
Highlight Your Teamwork and Collaboration: Since the role involves working within a team, include examples of how you've successfully collaborated with others in past projects. This will demonstrate your ability to contribute to the inclusive culture at Alpine F1 Team.
How to prepare for a job interview at Alpine
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Modelica, Matlab, and Python. Highlight specific projects where you've developed models or conducted analyses, especially in powertrain systems.
✨Demonstrate Your Passion for F1
Express your enthusiasm for Formula One and how it drives your career aspirations. Share any relevant experiences or knowledge about the sport that can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your understanding of controls, modal analysis, and high-frequency torsional analysis. Practice explaining complex concepts clearly and concisely.
✨Emphasise Team Collaboration
Discuss your ability to work within a team and contribute to a collaborative environment. Provide examples of how you've successfully worked with others to achieve common goals in previous roles or projects.