Internship / Master's Thesis: Physics-Informed ML for Vehicle Dynamics Identification (m/f/d)

Job title: Internship / Master's Thesis: Physics-Informed ML for Vehicle Dynamics Identification (m/f/d)

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.

Join us and be part of this exciting journey!

YOUR TEAM

For the department Vehicle, Energy, Motion & Body (VEMB) we are looking for a student (intern or master thesis) for the project “System Identification with Physics-informed Machine Learning for Vehicle Dynamics”. Our department develops advanced software for vehicle energy, motion, and body systems. Our VEMB pre-development team works on methods for end-to-end learning of VEMB functions to enable faster, scalable and more cost-effective product development. We cover the entire development range-from initial concepts to proof of concepts in test vehicles in close cooperation with the series development departments.

WHAT YOU WILL DO

• Review the state-of-the-art physics informed Machine Learning literature and evaluate methods for vehicle dynamics modeling (e.g., SINDy, Symbolic Regression, etc.)
• Evaluate and select suitable approaches to minimize the Simulation to Reality gap
• Implement, extend, and optimize the selected methods
• Validate the developed models using both synthetic and real-world datasets
• Collaborate with teams in predevelopment and series development environments
• Work together with a PhD student in the field of Physics-informed Machine Learning and Simulation to Reality transfer

WHO YOU ARE

• Enrolled student in a relevant field such as Computer Science, Robotics, Electrical Engineering, or Mechatronics, with a strong focus on machine learning
• Knowledge of control design and machine learning (Physics-informed Machine Learning is a plus)
• Experience with Python and machine learning frameworks such as PyTorch, etc.
• Hands-on experience through real-world projects, such as student projects, internships, or prior work experience
• Strong analytical and problem-solving skills
• High level of commitment, initiative, and teamwork
• Fluency in English and German and good communication skills

NICE TO KNOW

• Remote work options within Germany
• Duration: 6 months
• 35 hours/week
• Salary: 13,90 €/hour

At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at [email protected] - we are happy to support you.

Job ID:

31070

Company:

CARIAD SE

Location

München, DE, 80807 Mönsheim, DE, 71297

Department: Apprenticeship & Study

Career Level: Students

Working Model: Full-time

Contract Type: Fixed-term

Remote Working: According to company policy

Posting Date: Oct 20, 2026

Why CARIAD? We believe that how we work together is just as important as the technology we create. We strive to take action with a can-do attitude, and value speed over perfection. We aim to collaborate with mutual trust, taking accountability for our actions. We foster transparency and welcome diverse perspectives as we learn, adapt, and grow together

More information

Visit our careers page

View all jobs

HR contact

Do you have any suggestions or questions? Get in touch

Legal Notices

Data Privacy | CARIAD

Imprint | CARIAD

Apply now