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Ph.D. / Doctorate position in the field of Adaptive Multi-Modal Fusion in cooperation with a university starting August 2025

Mercedes-BenzSindelfingen, DE

Vor einem Tag

Stellenbeschreibung

Tätigkeitsbereich : Forschung & Entwicklung incl. DesignFachabteilung : Fusion 2Gesellschaft : Mercedes-Benz AGStandort : Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum : ..5Veröffentlichungsdatum : ..5Stellennummer : MER3MArbeitszeit : Vollzeit BewerbenAufgaben

The Mercedes-Benz Group AG is one of the most successful 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.

Qualifikationen

Completed master's 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 MMDetection

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 and methodically and creatively approach solution design

Great willingness to learn and share knowledge, for example, by supervising students

Openness to questioning the state of the art and high motivation to delve deeply into a topic

Additional information :

Please apply exclusively online and mark your application documents as "relevant for this application" in the online form. Please find the criteria of employment . Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

Please understand that we do not accept paper applications and that there is no right to get your documents returned.

BenefitsEssenszulagenMitarbeiterhandy möglichMitarbeiterrabatte möglichMitarbeiterbeteiligung möglichMitarbeiter EventsCoachingFlexible Arbeitszeit möglichHybrides Arbeiten möglichGesundheitsmaßnahmenBetriebliche AltersversorgungMobilitätsangebote

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