PhD student for PhD in the field of Multi-Modal Perception & Fusion at Internet Scale

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003PAC We shape the future of mobility at Mercedes-Benz by developing autonomous and automated driving systems for motorways and urban areas. Our teams are inspired by current trends, find the best solutions for our customers and develop the latest and best core technologies to meet these challenges. Be part of an agile, innovative team that is passionate about making our vehicles safer and more independent. We are looking for a talented, active and committed team member who, within our Sensor Perception & Fusion Team in the Böblingen area, explores and actively drives the technologies of tomorrow. Tasks and responsibilities: You provide basic insights for our sensor Perception & Fusion System of the future. This system, based on camera, lidar and radar data, forms the basis for the environmental model, which describes other road users and infrastructure information

Explore new, data-driven multi-sensor Perception & Fusion algorithms and architectures using existing Vision Language models to achieve the best possible driving behavior

Develop new approaches to adapting Internet-Scale trained VLMs to further sensor dynamics such as LiDAR and Radar

You will be practicing current research in Sensor Perception & Fusion, publishing your own contributions and presenting them at conferences

You capture your results in reports and present them regularly in the Sensor Perception & Fusion Teams

The doctorate can start from October 2025. Adjustment requirement is the support of the doctoral project by a university lecturer. The selection of a corresponding person is the responsibility of the doctoral student.

Ideally, you bring the following: Complete master studies 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 and VLM architectures

Experience with the application of named concepts on Object Perception and Tracking, based on multimodal sensor data such as radar, lidar and camera

Very good programming knowledge in Python

Practical experience with Docker, Conda, Pytorch and ML frameworks like MMDetection

C++ Programming skills are advantageous

English and German language skills

Personal competencies: High level of discipline, initiative, self-employment and commitment

Excellent communication and team skills as part of a global team in a multicultural environment

Ability to identify existing problems and methodological, creative approach to solution design

Great willingness to learn and pass on knowledge, for example in the care of students

Openness to question the state of the art and high motivation to deepen a topic

Additional information: Do you want to make your promotion in cooperation with Mercedes-Benz Group AG? We offer you an international network of experts, research materials, work insights and personal mentors that will assist you as a contact person in addition to your faculty. PhD at a renowned university with the support of Mercedes-Benz Group AG as a non-academic partner – and use the know-how of a globally active group. Please apply exclusively online and mark your application documents as ''relevant for this application' in the online form. You can find information about the setting criteria here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive applications for disabled people and disabled people. At SBV-Sindelfingen@mercedes-benz.com you can also contact the site's heavy-handed representative, who will be happy to support you in the further application process. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).

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