We offer a unique opportunity to conduct your Master thesis at the intersection of AI, education, and industrial automation. Your project will be to design, develop, and validate a comprehensive, state-of-the-art AI curriculum within our Learning Factory. This is not just an academic exercise; you will take ownership of a significant research and development project, creating a robust educational framework that tackles the entire AI lifecycle—from strategic data planning and generation to sophisticated modeling, MLOps, and deployment.

Your central research objective will be to develop and evaluate a curriculum that effectively teaches advanced AI concepts by grounding them in tangible, industrial use cases. You will be the primary driver of this project, from conceptualization to final delivery, culminating in a high-impact Master's thesis and a deployable educational product.

• Master studies in the field of Computer Science, Artificial Intelligence, Data Science, Engineering, Robotics or comparable
• Deep experience with Python and with libraries like PyTorch or TensorFlow; sound knowledge in several of our core AI topics, e.g. time-series analysis, computer vision, RL, GANs; strong familiarity with MLOps concepts and tools, e.g. Git, Docker, CI/CD, cloud platforms like Azure/AWS; previous research, internships, or significant projects involving ML model development and deployment are highly desirable
• You are a highly independent, self-driven researcher capable of managing a long-term, complex project from start to finish; you possess the creativity to envision innovative solutions and the analytical rigor to execute them; you can articulate complex technical ideas and research findings with clarity and precision, both in writing (for your thesis and documentation) and verbally
• Business fluent in English.