Intern/Thesis – Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping
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Job Description
CARIAD, Volkswagen Group’s automotive software company, seeking an intern/thesis student researching radar-camera fusion. Developing robust SLAM, localization, state-estimation, and 3D-mapping methods for autonomous vehicles.
Responsibilities:
- 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
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