Master Thesis Deep Learning for Multi-Channel Vision in Product Manufacturing

Apply now to Bosch Research and combine academic excellence with real-world industrial impact. In this Master thesis, you will contribute to the development of advanced anomaly detection methods for industrial multi-channel vision systems for quality assessment in series production. Our goal is to design a generalizable deep-learning model that leverages vision features to reliably detect defects across varying products and manufacturing scenarios.

• During your Thesis you will explore cutting-edge approaches in anomaly detection and multi-channel image processing to develop a novel, generalizable model for quality assessment in industrial production.
• Furthermore you will implement, train, and evaluate your approach using real-world production data, ensuring its robustness and suitability for industrial applications.
• Lastly you will work closely with experts from research and development as well as production, regularly presenting your results and thus fostering continuous innovation in computer vision for manufacturing., 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: advanced studies in the field of Computer Science, Machine Learning, Artificial Intelligence or comparable
• Experience and Knowledge: excellent machine-learning fundamentals and very good programming skills in Python and in one deep learning framework, e.g. PyTorch or JAX
• Personality and Working Practice: you are able to approach complex tasks in a structured and analytical manner, you have a high motivation to learn and work independently on challenging topics, always communicating your results clearly and understandably
• Work Routine: we offer you the possibility to work remotely part of the time
• Languages: very good in English

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 Catering facilities on site Healthy and tasty meals at subsidised prices in our company restaurant and cafeteria, free coffee in our coffee kitchens YouTube We provide videos via YouTube. For these videos to be shown, you first have to give your consent. If you consent, data will be transferred to YouTube, cookies will be used, and the Google DoubleClick advertising network will be contacted. This may trigger further data processing operations. It cannot be ruled out that data will also be transferred to countries outside the European Economic Area. Welcome to Bosch 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!