Job Description Join the Machine Intelligence department at our location Hanover-Stöcken, where we bring cutting-edge AI and machine learning solutions to industrial tire machinery. Our work spans control systems, measurement technologies, extended reality, and robotics, creating a dynamic environment for innovation. You will be part of an innovative team shaping the future of smart manufacturing by contributing to real-world industrial challenges and optimizing machines through data-driven solutions. We are offering a master’s thesis position starting as soon as possible (August/September 2026). An internship is also possible in addition to the master’s thesis. A voluntary or mandatory internship is possible. Most tasks are performed on-site. As an intern or master thesis student in Machine Intelligence, you will collaborate with a highly innovative team to explore and implement AI methodologies in control systems and develop digital twins that dynamically adapt to changing conditions in rubber manufacturing. Your main tasks: Experiment with time-series and tabular machine learning models (e.g., for prediction, anomaly detection, and process optimization) Apply signal processing and other feature engineering techniques to improve model performance Develop adaptive control systems and machine learning models for real-world industrial challenges Deploy and industrialise models in production environments