Intern/Thesis – Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping

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Volkswagen Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🚗 Transport

🚘 Automotive

🏭 Manufacturing

Transport • Automotive • Manufacturing

Volkswagen Group is a globally recognized automotive manufacturer that offers a wide range of vehicles and services through various brands. The company is dedicated to innovation in electric mobility, research and development, and production processes. With positions available around the world across numerous sectors within the automotive industry, Volkswagen Group focuses on providing exceptional career opportunities in a dynamic work environment.

📋 Description

• Independent research into novel approaches for fusing radar and camera data • Development and evaluation of methods for robust state estimation, localization, and/or 3D mapping • Planning and conducting experiments and comparing approaches with the current state of the art • Analysis of results and extraction of insights to advance multimodal SLAM algorithms • Participation in research projects on radar-camera fusion and robust SLAM for autonomous vehicles • Collaboration with PhD researchers at the interface between research and industry

🎯 Requirements

• Excellent academic achievements • Enrolled student in Computer Science, Robotics, Electrical Engineering, Mathematics, or a comparable program • Knowledge of sensors for autonomous driving and measurement techniques • Programming skills and practical experience in Python and/or C++ • Very good written and spoken English • Open, team-oriented, and passionate about autonomous driving systems and solving challenging technical problems • Initial research experience, e.g., through internships, projects, scientific publications, or programming competitions, is an advantage

🏖️ Benefits

• Option to work remotely within Germany • €12.82 per hour compensation • 35 hours per week • Diverse and inclusive work environment • Support with applications for people with disabilities