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Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving

Bosch Group -
Renningen

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Informatik
Spark
Master
C++
Softwareentwicklung
GitHub
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

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

Work on cutting-edge AI topics during your thesis and gain hands-on experience in an innovative environment. Ready to make an impact? Apply now and shape the future of automated driving!

During your thesis, you will review scientific literature on state-of-the-art approaches to behavior planning in automated driving, with a particular focus on Reinforcement Learning (RL).
You will become familiar with available open-source datasets as well as training and simulation frameworks used in autonomous driving.
Building on this foundation, you will design novel training methodologies and apply them to train high-performance AI planners for autonomous driving applications.
By integrating Imitation Learning (IL) and Reinforcement Learning, you will leverage the advantages of both approaches within a combined framework.
Throughout your work, you will ensure well-structured technical documentation and maintain clean code.

Qualifications

Education: Master studies in the field of Computer Science, Artificial Intelligence, Robotics, Mechatronics or comparable with very good grades
Experience and Knowledge:
- familiarity with behavior planning for automated driving, and in particular, with AI-based planners
- strong theoretical background in Imitation Learning (IL) and Reinforcement Learning (RL)
- excellent programming skills in Python
- knowledge of collaborative coding and software development platforms, such as GitHub
- C++ skills considered a plus
Personality and Working Practice: you are highly motivated, open to collaboration and teamwork, and equipped with excellent communication skills
Work Routine: your on-site presence is required
Languages: fluent 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?
Luca Paparusso (Functional Department)
+49 173 289 0264

Work #LikeABosch starts here: Apply now!

#LI-DNI

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Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving

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