Description
The employer offers an enrolled student the opportunity to complete a master’s thesis focused on developing and optimizing AI models for automated quality inspection in industrial production. The work involves analyzing production image data, comparing object detection, segmentation, and anomaly detection methods, developing a production-oriented vision platform, and improving model accuracy, robustness, and real-time performance. The role uses Python, PyTorch, OpenCV, Docker, and GPU infrastructure and requires collaboration with experienced AI experts. Applicants must be enrolled in a relevant degree program, have substantial degree progress, programming and AI-framework experience, and an interest in industrial AI.
