Master Thesis Evaluation and Implementation of Machine Learning Methods for Driver Assistance

Master Thesis Evaluation and Implementation of Machine Learning Methods for Driver Assistance

Robert-Bosch-Allee 1, 74232 Abstatt, Germany

Full-time

Robert Bosch GmbH

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

• From the first day, you will explore the feasibility and potential of an innovative ADAS foundational model that integrates various functionalities such as perception and prediction.
• Independently, you will design, implement, and evaluate a Proof of Concept (PoC) to demonstrate the core functionalities and benefits of this novel approach.
• You will gain experience in the field of working with extensive and diverse datasets to demonstrate and continuously optimize the model's performance.
• Finally you will utilize cutting-edge technologies and make a significant contribution to a pioneering initiative that redefines the boundaries of what is possible.

Qualifications

Additional Information

Start : according to prior agreement

Duration : 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, 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?

Jerg Pfeil (Functional Department)

Work #LikeABosch starts here : Apply now!

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