Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
Lane detection is a fundamental part of driver assistance systems and autonomous driving. In recent years, deep learning based systems have been utilized to detect accurately lane markings. The goal of this internship is to bring together recent progress in the area of foundation models with the task of lane detection.
- During your internship you will work with cutting-edge deep learning algorithms, which improve automated driver assistance systems.
- You are responsible for the implementation, verification and test of the algorithms.
- Furthermore, you work in an agile team.
- Additionally, you will evaluate on public benchmarks and internal real-world data.
Qualifications
- Education: Master studies in the field of Computer Science, Computer Vision, Robotics, Electrical Engineering or comparable, with excellent grades
- Experience and Knowledge: excellent knowledge in the area of deep learning and computer vision, ideally experience with visual foundation models and object detection, very good programming skills in Python and experience with machine/deep learning frameworks
- Personality and Working Practice: strongly committed, self-initiated, motivated and with good communication skills
- Languages: fluent in English and ideally good in German
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Axel Vogler (Business Department)
+49 711 811 48594
#LI-DNI