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

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

Full-time

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 GmbHis looking forward to your application!

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.

• Education: Master studies in the field of Science, Technology, Engineering, Mathematics or comparable
• Experience and Knowledge: programming experience, especially in Python; ideally experienced in a relevant data analytics project, i.e. data collection, preparation, processing, modeling, analysis and visualization Knowledge in AI/Machine Learning; knowledge in PyTorch/Tensorflow and neural networks is beneficial
• Personality and Working Practice: you enjoy working in a team, are motivated to contribute, and pursue your goals independently and in a results-oriented manner
• Work Routine: office attendance required, mobile working is possible by arrangement
• Languages: fluent in German and very good in English

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)

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