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Mercedes- Benz AG
Ph. D./ Doctorate position in the field of Adaptive Multi-Modal Fusion in cooperation with a university starting August 2025
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[...] automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. We are shaping the future of mobility at Mercedes-Benz by developing autonomous and automated driving
systems for highways and urban areas. Our teams are inspired by current trends, find the best solutions for our customers, and develop the latest and greatest core technologies to meet these challenges. Become part of an agile, innovative team that is passionately working to make our vehicles even safer and more autonomous. We are looking for a talented, energetic, and dedicated colleague (m/f/d) to join our Sensor Fusion team in the Böblingen area to research and actively advance the technologies of tomorrow. These challenges await you: You will provide fundamental insights for our future Sensor Perception Fusion system. This stack forms the basis for the environmental model, which describes other road users and infrastructure information, using camera, lidar, and radar
data You will research new, data-driven multi-sensor perception fusion algorithms and architectures utilizing transformer-based approaches to achieve optimal driving behavior You will monitor current research in the field of sensor perception fusion, publish your own contributions, and present them at conferences You will document your results in reports and regularly present them to the Sensor Perception Fusion teams The requirement for hiring is the supervision of the PhD project by a university lecturer. The PhD student is responsible for choosing his/ her/ their own
supervisor. Completed masters degree with excellent results in engineering, such as computer science, robotics, physics, or a related field Very good knowledge of state-of-the-art machine learning, such as transformer and attention concepts Good knowledge of probabilistically motivated sensor fusion algorithms Experience in applying these concepts to object perception and tracking based on multimodal sensor data such as radar, lidar, and camera Excellent and practical programming skills in Python Practical experience with Docker, Conda, Pytorch, and ML frameworks such as MM Detection C++ programming skills are an advantage Fluent English language skills Personal Competencies: High level of discipline, initiative, independence and commitment Excellent communication and teamwork skills as part of a global team in a multicultural environment Ability to understand existing problems [...]
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