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

Robert Bosch GmbH; Abstatt; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology company in Germany seeks a Master Thesis student to explore and implement machine learning methods for driver assistance systems. You will design a Proof of Concept integrating various functionalities and work with diverse datasets to optimize performance. Ideal candidates are pursuing Master studies in relevant fields, have programming experience, and are fluent in German. The position is office-based with some mobile working opportunities. Join us for a pioneering initiative in automotive technology.

Qualifikationen

• Master studies in relevant fields are essential.
• Experience in data analytics projects is valuable.
• Fluency in German and proficiency in English are required.

Aufgaben

• Explore the feasibility of an innovative ADAS foundational model.
• Design and evaluate a Proof of Concept to demonstrate core functionalities.
• Work with extensive datasets to optimize model performance.

Kenntnisse

Programming experience in Python

Knowledge in AI / Machine Learning

Experience with PyTorch

Experience with TensorFlow

Data analysis and visualization skills

Ausbildung

Master studies in Science, Technology, Engineering, Mathematics

Jobbeschreibung

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

• 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.

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?

Contact

Jerg Pfeil (Functional Department)

• 49 7062 911 8271

Work #LikeABosch starts here : Apply now!

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