Summary
✨ AI‑Generated
An automotive technology team is offering an internship focused on vehicle motion prediction algorithms for advanced driver-facing visualization systems. You will research, implement, and systematically evaluate prediction methods using real-world sensor and vehicle data. The role provides hands-on experience in applied research, algorithm development, mathematical analysis, and performance evaluation.
Highlights
Gain practical experience in an applied automotive research project using real-world vehicle and sensor data. Explore and evaluate motion prediction methods, contribute to advanced visualization technology, and develop research and algorithm engineering skills in a professional engineering environment.
Description
Intern Vehicle Motion Prediction Algorithms | Mercedes-Benz > Karriere > Jobsuche > Stellenausschreibungen DE EN HU Anbieter/DatenschutzUnternehmenTechnologieNachhaltigkeitKarriereInvestorenPresse ProdukteKarriereJobsucheIntern Vehicle Motion Prediction AlgorithmsTätigkeitsbereich:Forschung & Entwicklung incl.
DesignFachabteilung:Augmented RealityGesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz Werk Sindelfingen, Sindelfingen Startdatum:19.11.2026Veröffentlichungsdatum:08.10.2026Stellennummer:MER00048I8Arbeitszeit:Vollzeit BewerbenAufgabenThe 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 approachesImplement prototypes in Python and integrate selected methods into C++ applications where appropriateDesign and conduct reproducible benchmarking experimentsEvaluate methods with regard to accuracy, robustness, parameterization effort, runtime performance, noise sensitivity, and real-time capabilityDocument, visualize, and present your findings to the team The activity can begin from November 2026.QualifikationenCompleted 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 fieldGood written and spoken English skills; German language skills are an advantageAnalytical thinking and a structured way of workingSolid knowledge in at least one of the following areas:State estimation and sensor fusionVehicle dynamics and motion modelsSignal processingRobotics or autonomous systemsProgramming experience in Python; experience with C++ is an advantageAdditional 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).Benefits Essenszulagen Mitarbeiterhandy möglich Mitarbeiterrabatte möglich Mitarbeiterbeteiligung möglich Mitarbeiter Events Coaching Flexible Arbeitszeit möglich Hybrides Arbeiten möglich Gesundheitsmaßnahmen Betriebliche Altersversorgung Mobilitätsangebote Kantine, Café Betriebsarzt Kinderbetreuung Parkplatz Gute Anbindung Barrierefreiheit KontaktMercedes-Benz AGBela-Barenyi-Str Tor 1471063 SindelfingenDetails zum StandortKuersat Kartal E-Mail: kuersat.kartal@mercedes-benz.com BewerbenDie Mercedes-Benz Group.Die Mercedes-Benz Group AG (ehemals Daimler AG) ist eines der erfolgreichsten Automobilunternehmen der Welt.
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