Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application! Employment type: Limited Working hours: Full-Time Joblocation: Renningen Aufgaben The future of industrial manufacturing critically depends on the ability to detect even the smallest anomalies with precision and reliability. As a PhD candidate in our team, you will play a key role in redefining the boundaries of hyperspectral anomaly detection. You will develop robust AI systems that generalize across different materials and production sites, thereby helping to revolutionize quality assurance. In this role, you will combine cutting‑edge fundamental research with direct industrial application and actively shape the next generation of intelligent inspection solutions. You will develop and evaluate advanced machine learning methods for hyperspectral anomaly detection, leveraging self‑supervised representation learning as well as transfer and meta‑learning techniques, complemented by domain generalization approaches. Furthermore, you will analyze and process large volumes of hyperspectral data from real industrial applications as well as develop data‑efficient and scalable methods. As part of our team, you will work closely with internal and external partners to transfer research results into practice as well as ensure effective knowledge exchange. Last but not least, you will publish your research results in renowned scientific journals and present them at international conferences, actively contributing to the scientific community. Profil Education: completed Master's degree in computer science, machine learning, artificial intelligence, or a related field with excellent academic performance Experience and Knowledge: solid experience with machine learning methods, particularly in the field of deep learning very strong programming skills in Python experience with at least one deep learning framework (e.g., PyTorch or JAX) strong background in computer vision and probabilistic modeling knowledge of representation learning, self‑supervised learning, or transfer learning interest in digital signal processing, physics, optics, photonics, or materials science is a plus Personality and Working Practice: you analyze complex research questions with strong analytical skills and develop innovative solutions; you work independently in a structured and goal‑oriented manner, clearly communicate your results, and take responsibility for your research; you also collaborate effectively with industrial partners and demonstrate high intrinsic motivation for high‑quality research in an industrial environment Enthusiasm : you have a strong interest in machine learning and computer vision for industrial applications and are passionate about solving challenging real‑world problems through research Languages : very good German and English skills, both written and spoken Wir bieten Work-life balance : Flexible working in terms of time, place and working model. Health & Sport : Wide range of health and sports activities. Childcare : Intermediary service for childcare services. Employee discounts : Discounts for employees. Room for creativity : Space for creative work. In-house social counseling and care services : Social counselling and intermediary service for care services. The recruitment contact or superior will be happy to provide information about the individual benefit plan. ADZN1_DE