
Internship - Radar-Based Vehicle Localization and State Estimation (SYS Eng)
Erforderliche Skills
Stellenbeschreibung
AUMOVIO hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Lindau bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen. Du kannst außerdem ChatGPT oder Claude mit einem fertigen Prompt öffnen, um deinen Lebenslauf anzupassen, deine Eignung zu prüfen, ein Anschreiben zu verfassen oder dich auf das Interview vorzubereiten.
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Beschreibung bereitgestellt von AUMOVIO
Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.
Job Description
We are looking for a highly motivated student (m/f/diverse) to join our System Engineering team from August 2026 for a duration of approx. 6 months and contribute to the development of next-generation radar-based localization technologies for automotive applications.
During this internship, you will work on advanced algorithms for processing sparse radar data and support the development of innovative approaches to improve vehicle localization and state estimation. You will gain hands-on experience with state-of-the-art radar sensing technologies and contribute to real-world challenges in automated and assisted driving systems.
Your Responsibilities Include
- Analyze and evaluate existing approaches for radar-based point cloud registration
- Implement and optimize Iterative Closest Point (ICP) algorithms for sparse radar data
- Develop and assess quality metrics and confidence indicators to improve registration robustness and minimize localization errors
- Evaluate the performance of developed algorithms using simulation and measurement data
- Document results and present findings to the project team
You are wondering whether you are a good fit for the Mandatory Internship - Radar-Based Vehicle Localization and State Estimation (SYS Eng)? Here are some key qualifications, we are looking for:
- Student (m/f/diverse) in Industrial Engineering or a comparable field of study
- Confident and routine use of MS Office applications
- Very good German and English skills, both written and spoken
If applicable, please also submit your valid residence permit and your work permit including the supplementary sheet.
Applications from people with severe disabilities are welcome.
Additional Information
Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.
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