logo
Alle Stellen anzeigen

Performance Methodology Graduate

Praktikum/Werkstudium, Vollzeit · Hinwil
Lesen Sie die Stellenbeschreibung in:
Join the Audi F1 Project - Shape the Future of Motorsport!
Welcome to the Audi F1 Project.     
    
Audi will be competing in the FIA Formula 1 World Championship from 2026. The new team has three locations. The Sauber Group's Formula 1 factory in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. Audi's Motorsport Competence Center in Neuburg (Germany) is considered one of the most modern of its kind in Europe. We have recently opened Sauber Motorsport Technology Center in the UK. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations with support from the UK.  
  
We are now opening applications for our inaugural Graduate Programme. In your graduate role, you will contribute directly to live projects, gaining hands-on experience from day one.   
 
Continuous improvement is at the core of what we do. You will be encouraged to adapt and innovate, strengthening your skills and developing a growth mindset. Clear and effective communication, as well as constructive feedback, will be essential in helping you collaborate across teams. You will share knowledge openly and learn from the experience of your teammates. And we place great emphasis on ownership: you will take responsibility for your work, make informed decisions and understand how your contributions shape the wider team's success.
Your mission
As a graduate member of the Performance Methodology team, you’ll focus on developing innovative methodologies to enhance the understanding and development of car performance. You’ll work closely with teams such as Vehicle Dynamics, Modelling, Aero Performance, and Simulator to deliver impactful solutions. This role offers the opportunity to design and implement cornerstone methodologies for data analysis and knowledge discovery, shaping how insights are generated and applied across the organisation. 
 
Key Responsibilities 
  • Design, develop, and deploy advanced models and methodologies to analyse simulation results, Driver-in-the-Loop sessions, driver feedback, and technical reports.
  • Build automated data analysis pipelines and reporting tools to deliver real-time and post-session insights.
  • Develop predictive models to anticipate performance trends and competitiveness.
  • Maintain and improve software infrastructure for data handling, ensuring robustness and scalability.
  • Contribute to innovation projects exploring novel applications of AI and machine learning within motorsport.
Your profile
Required Qualifications 
  • MSc in Aerospace, Mechanical Engineering, Data Science, or Motorsport Engineering.
  • Understanding of vehicle dynamics, aerodynamics, and machine learning principles.
  • Proficiency in MATLAB and Python programming.
  • Knowledge of data visualisation and reporting tools (e.g., Plotly, Dash, Power BI, MATLAB).
 
Personal Attributes 
  • Strong written and verbal communication skills.
  • Collaborative mindset with the ability to work effectively in a team environment.
  • Excellent organisational skills and a strong sense of responsibility.
  • Ability to work efficiently under pressure while maintaining attention to detail in documentation and data management.
Auf diese Stelle bewerben
Werde Teil des Audi F1 Projektes – Gestalte die Zukunft des Motorsports!
Welcome to the Audi F1 Project.     
    
Audi will be competing in the FIA Formula 1 World Championship from 2026. The new team has three locations. The Sauber Group's Formula 1 factory in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. Audi's Motorsport Competence Center in Neuburg (Germany) is considered one of the most modern of its kind in Europe. We have recently opened Sauber Motorsport Technology Center in the UK. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations with support from the UK.  
  
We are now opening applications for our inaugural Graduate Programme. In your graduate role, you will contribute directly to live projects, gaining hands-on experience from day one.   
 
Continuous improvement is at the core of what we do. You will be encouraged to adapt and innovate, strengthening your skills and developing a growth mindset. Clear and effective communication, as well as constructive feedback, will be essential in helping you collaborate across teams. You will share knowledge openly and learn from the experience of your teammates. And we place great emphasis on ownership: you will take responsibility for your work, make informed decisions and understand how your contributions shape the wider team's success.
Deine Aufgabe
As a graduate member of the Performance Methodology team, you’ll focus on developing innovative methodologies to enhance the understanding and development of car performance. You’ll work closely with teams such as Vehicle Dynamics, Modelling, Aero Performance, and Simulator to deliver impactful solutions. This role offers the opportunity to design and implement cornerstone methodologies for data analysis and knowledge discovery, shaping how insights are generated and applied across the organisation. 
 
Key Responsibilities 
  • Design, develop, and deploy advanced models and methodologies to analyse simulation results, Driver-in-the-Loop sessions, driver feedback, and technical reports.
  • Build automated data analysis pipelines and reporting tools to deliver real-time and post-session insights.
  • Develop predictive models to anticipate performance trends and competitiveness.
  • Maintain and improve software infrastructure for data handling, ensuring robustness and scalability.
  • Contribute to innovation projects exploring novel applications of AI and machine learning within motorsport.
Dein Profil
Required Qualifications 
  • MSc in Aerospace, Mechanical Engineering, Data Science, or Motorsport Engineering.
  • Understanding of vehicle dynamics, aerodynamics, and machine learning principles.
  • Proficiency in MATLAB and Python programming.
  • Knowledge of data visualisation and reporting tools (e.g., Plotly, Dash, Power BI, MATLAB).
 
Personal Attributes 
  • Strong written and verbal communication skills.
  • Collaborative mindset with the ability to work effectively in a team environment.
  • Excellent organisational skills and a strong sense of responsibility.
  • Ability to work efficiently under pressure while maintaining attention to detail in documentation and data management.
Auf diese Stelle bewerben
Auf diese Stelle bewerben
Wir freuen uns über Dein Interesse an dem Audi F1 Projekt. 
Bitte beachte, dass wir nur Bewerbungen berücksichtigen können, die über unser Online-Stellenportal eingereicht werden. 
Nachdem das folgende Formular ausgefüllt wurde, wird unser HR-Team den Eingang der Bewerbungsunterlagen bestätigen.
Sollten Schwierigkeiten beim Hochladen der Dateien entstehen, bitten wir um die Kontaktaufnahme per E-Mail via career@sauber-group.com. 

Datenschutzerklärung
Dokument wird hochgeladen. Bitte warten Sie.
Fügen Sie alle erforderlichen (mit einem * gekennzeichneten) Angaben hinzu, um Ihre Bewerbung abzusenden.