Master Thesis Data-Driven Modeling of Inverse Lateral Motorcycle Dynamics

In the central research division of Robert Bosch GmbH in Renningen, you will be part of a team that is working on the motorcycle safety systems of tomorrow. Our shared goal is to reduce the risk of accidents for motorcyclists while maintaining high riding comfort and enjoyment. A key challenge is the precise modeling and estimation of inverse lateral motorcycle dynamics. This makes it possible to determine the necessary control inputs for a desired vehicle state. A new approach is to learn this dynamic using machine learning or deep learning.

• As a part of your Master thesis, you will evaluate classical and deep learning-based methods for time-series prediction.
• To this end, you will analyze motorcycle dynamics data.
• In addition, you will identify suitable modeling approaches, implement them in PyTorch and assess the results based on real datasets from test rides.
• We offer you the opportunity to collaborate in an interdisciplinary team with experts in deep learning and rider assistance systems. You will gain access to powerful GPU resources and extensive vehicle dynamics data, as well as engage in practically relevant research with direct application in safety-critical systems., Our Research Campus in Renningen, Germany, is the international hub of our Corporate Sector Research and Advance Engineering, the Cross-Domain Computing Solutions division, and the Bosch Center for Artificial Intelligence.

Here, associates from all over the world are dedicated to finding answers to tomorrow's questions. To ensure our researchers' ideas can develop and flow freely, the campus has been set up to encourage direct, easy communication and nurture inspiration - an environment where creativity knows no bounds.

Are you ready to join us in shaping the future? Your innovative spirit and curiosity are just what we're looking for.

• Education: Master studies in the field of Computer Science, Engineering, Natural Sciences or comparable with a strong academic record
• Experience and Knowledge: hands-on experience from relevant projects; good programming skills in Python; experience with deep learning frameworks such as PyTorch or TensorFlow; a basic understanding of systems theory and vehicle dynamics is an advantage
• Personality and Working Practice: you are a team player with a passion for innovation and technology and an analytical and structured working style
• Languages: good in German or English

Supported employee car park on site, free bicycle parking in the courtyard, secure bicycle parking space for rent, e-bike charging stations

Company doctor on site

Occupational health care and counselling by internal medical staff, free vaccinations, attractive health insurance, psychosocial and therapeutic counselling, personal health care, workshops and lectures on the subject of health, company pension scheme from the 3rd year at Bosch

Discounts for employees

Discounted purchasing conditions with us and our partner companies, subsidised cultural and leisure events