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
- During your thesis you will identify or create scenarios, set up evaluation pipelines, and define metrics for performance and safety.
- As learning approaches, you will implement and compare various techniques - be it Reinforcement Learning, Imitation Learning, or Adversarial Imitation Learning - within the established pipeline.
- In form of extensive simulation, you will run large-scale experiments to assess convergence, training stability, and hardware requirements.
- Furthermore, you will conduct a comparative analysis to track key metrics (collisions, route completion, computational efficiency) and benchmark against rule-based or learned baselines.
- Finally, you will report your findings by documenting insights, highlighting strengths and weaknesses of each approach, and compile the results in a final report or publication-ready manuscript.
Qualifications
- Education: Master studies in the field of Computer Science, Electrical Engineering, Mechatronics, Mathematics or comparable
- Experience and Knowledge: in Python, PyTorch; knowledge of Deep Learning, NumPy, Reinforcement Learning, Inverse Reinforcement Learning
- Personality and Working Practice: you have an analytical mindset with excellent communication skills and are self-driven plus eager to solve real-world challenges in automated driving
- 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?
Jürgen Mathes (Functional Department)
+49 152 08887043
#LI-DNI
Top Skills
What We Do
The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.
As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”
The Bosch Group comprises Robert Bosch GmbH and its roughly 440 subsidiary and regional companies in some 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 128 locations across the globe, Bosch employs some 76,100 associates in research and development, of which more than 38,000 are software engineers.
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