Thesis on Large Language Models for Behavioral Prediction

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 unwavering: we grow together, we enjoy our work, and we inspire one another. Join us and experience the difference.

The Robert Bosch GmbH is looking forward to your application!

Job Description

Join our team of autonomous driving experts to contribute to the development of advanced predictive models for autonomous vehicles. Your main focus will be on enhancing the capabilities of predictive models within autonomous driving systems, ensuring safer and more comprehensible behavior in complex scenarios.

• During your thesis, you will utilize Large Language Models (LLMs) to predict potential future vehicle trajectories.
• Additionally, you will work with open-source benchmarks and datasets.
• Last but not least, you will conduct independent research. Your findings will be presented in a clear and publishable manner.

Qualifications

• Education: studies in the field of Computer Science, Electrical Engineering, Physics or similar
• Experience and Knowledge: in implementing machine learning applications, proficiency in Python with , TensorFlow or JAX
• Personality and Working Practice: eager to learn and open-minded
• Enthusiasm: delving into a topic at the forefront of machine learning research and autonomous driving applications
• Languages: fluent in English

Additional Information

Start: subject to prior agreement
Duration: 6 months

A requirement for this thesis is the enrolment at a university. Please attach your CV, transcript of records, exam regulations, and if indicated, a valid work and residence permit.

Diversity and inclusion are not just trends for us, but are firmly embedded 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?
Andreas Look (Business Department)
+49 172 483 6191

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