Master Thesis - AI‑Based Technology Scouting & Benchmarking (m/f/d)

Job description

Sense the power of light The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier. Your new responsibilities • Establish an AI based technology scouting capability to systematically identify, structure, and benchmark: relevant technologies, products and research trends from external and internal sources. • Develop AI workflows for: automated scanning of large information spaces (publications, patents, reports, web sources), structuring and comparison of technologies and solutions, synthesis of insights into a shared “state of the art” view. • Analyze how AI supported scouting can: shorten scouting and benchmarking cycles, reduce duplication of studies across teams, propose a structured approach for capturing “lessons learned” at the end of scouting studies, explore the potential of reusing these lessons as machine readable knowledge to build a long term AI assisted knowledge base. Who we are looking for • Enrolled Master’s student in Data Science, Artificial Intelligence, Computer Science, Chemistry, Engineering, Physics, or a related field. • Solid understanding of AI / ML methods • Experience with Python and common ML/AI • Familiarity with technology scouting, literature analysis, patents, and benchmarking is a strong plus • Ability to structure complex information and communicate results clearly • Self‑driven, analytical, and comfortable working with incomplete or heterogeneous data • Very good English skills (written and spoken) We offer competitive salaries and additional benefits based on your performance, experience, and qualifications. Employment is in accordance with the collective agreement for the electrical and electronics industry, employment group E ( ) . Please contact Marlies Nigitz for further information via or +43 (3136) 50032853 .