Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Fusion 2Gesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum:..5Veröffentlichungsdatum:..5Stellennummer:MER3PACArbeitszeit:Vollzeit BewerbenAufgaben
We shape 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 tackle these challenges.
Become part of an agile, innovative team that passionately works to make our vehicles even safer and more autonomous. We are looking for a talented, proactive, and dedicated colleague to join our Sensor Perception & Fusion team in the Böblingen area, researching and actively advancing the technologies of tomorrow.
Tasks and responsibilities
1. You provide fundamental insights for our future Sensor Perception & Fusion system. This system uses data from cameras, lidar, and radar to form the basis of the environmental model, which describes other road users and infrastructure information
2. You research new, data-driven multi-sensor perception and fusion algorithms and architectures, leveraging existing vision language models to achieve optimal driving behavior
3. In doing so, you develop new approaches to adapt internet-scale trained vision language models (VLMs) to additional sensor modalities such as LiDAR and radar
4. You monitor current research in the field of sensor perception and fusion, publish your own contributions, and present them at conferences
5. You document your results in reports and regularly present them to the Sensor Perception & Fusion teams
The Promotion can begin from October 5.
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
Ideally, you bring the following:
6. A completed Master's degree with excellent results in engineering, such as computer science, robotics, physics, or a related field
7. Excellent knowledge of state-of-the-art machine learning, such as transformer and attention concepts, and VLM architectures
8. Experience in applying the mentioned concepts to object perception and tracking, based on multimodal sensor data such as radar, lidar, and camera
9. Excellent and practically demonstrated programming skills in Python
10. Practical experience with Docker, Conda, PyTorch, and ML frameworks such as MMDetection
11. C++ programming skills are an advantage
12. Fluent English and German language skills
Personal Competences:
13. High level of discipline, initiative, independence, and commitment
14. Excellent communication and teamwork skills as part of a global team in a multicultural environment
15. Ability to understand existing problems and take a methodical, creative approach to solution design
16. Strong willingness to learn and share knowledge, for example, by mentoring students
17. 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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