The Mercedes-Benz Augmented Reality Head-Up Display (ARHUD) requires reliable vehicle motion prediction to ensure accurate contact-analog visualizations, particularly considering the inherent latency of sensor-based estimates. In this internship, You will research, implement, and systematically evaluate different prediction methods. You will contribute to an applied automotive development project using real-world vehicle and sensor data.

Your Responsibilities:

• Research and identify suitable prediction approaches, including kinematic and dynamic models, Kalman filters, regression techniques, data-driven methods, and hybrid approaches
• Implement prototypes in Python and integrate selected methods into C++ applications where appropriate
• Design and conduct reproducible benchmarking experiments
• Evaluate methods with regard to accuracy, robustness, parameterization effort, runtime performance, noise sensitivity, and real-time capability
• Document, visualize, and present your findings to the team

 The activity can begin from November 2026.

• Completed Bachelor's degree and current enrollment in a Master's program in Computer Science, Electrical Engineering, Robotics, Automotive Engineering, Mathematics, Data Science, or a comparable field
• Good written and spoken English skills; German language skills are an advantage
• Analytical thinking and a structured way of working
• Solid knowledge in at least one of the following areas:
  • State estimation and sensor fusion
  • Vehicle dynamics and motion models
  • Signal processing
  • Robotics or autonomous systems
• Programming experience in Python; experience with C++ is an advantage

Additional Information:
We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.
You can find further information on the hiring criteria here.
Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process.
People Solutions will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).