Vehicle Modelling Internship

Praktikum/Werkstudium, Vollzeit · Hinwil

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 two locations. Audi's Motorsport Competence Center in Neuburg (Germany) is considered one of the most modern of its kind in Europe. The Sauber Group's Formula 1 factory in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. The Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations. The planned takeover by AUDI AG turns two teams into a factory team – and you can be part of it.

What you need? The mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

If you would like to develop state-of-the-art multiphysics and data-driven models for our Formula 1 digital twin and learn how to regress multivariate models using telemetry data from our Formula 1 cars, this internship might be the one for you. This is a 6 or 12 month internship starting in January of February 2026.

The position for the Audi F1 Project is at Sauber in Hinwil (Switzerland).

Your mission

Develop the hybrid multiphysics/data-driven models of our digital twin (e.g., tyres, suspension, powertrain, and aerodynamics)
Implement state-of-the-art simulation and optimization methodologies
Develop, implement, and employ advanced model correlation algorithms and tools
Contribute to the development of telemetry data analysis tools
Review, test, and document new model updates

Your profile

Master’s or PhD student in Engineering (Mechanical, Nuclear, Robotics, Systems, Control), Physics, or related field.
Programming experience in C/C++ (Matlab or Python is a plus)
Strong understanding of physical modelling concepts and principles such as thermodynamics, fluid dynamics, physical mechanics, rigid- and multi-body dynamics, and correlation methods
Knowledge of numerical modelling and simulation methods
Prior understanding of vehicle systems and vehicle dynamics would be beneficial
Team player, highly self-motivated, pro-active, creative
Pragmatic, analytical, and result-oriented with a high attention to detail
Strong English (verbal and written) language skills

Auf diese Stelle bewerben

Werde Teil des Audi F1 Projektes – Gestalte die Zukunft des Motorsports!

Deine Aufgabe

Develop the hybrid multiphysics/data-driven models of our digital twin (e.g., tyres, suspension, powertrain, and aerodynamics)
Implement state-of-the-art simulation and optimization methodologies
Develop, implement, and employ advanced model correlation algorithms and tools
Contribute to the development of telemetry data analysis tools
Review, test, and document new model updates

Dein Profil

Master’s or PhD student in Engineering (Mechanical, Nuclear, Robotics, Systems, Control), Physics, or related field.
Programming experience in C/C++ (Matlab or Python is a plus)
Strong understanding of physical modelling concepts and principles such as thermodynamics, fluid dynamics, physical mechanics, rigid- and multi-body dynamics, and correlation methods
Knowledge of numerical modelling and simulation methods
Prior understanding of vehicle systems and vehicle dynamics would be beneficial
Team player, highly self-motivated, pro-active, creative
Pragmatic, analytical, and result-oriented with a high attention to detail
Strong English (verbal and written) language skills

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.