End of degree Thesis

Job description

Information Technology in general and AI in particular is a major game changer and enabler of state-of-the-art solutions for future timekeeping services. For instance, computer vision is reshaping the boundaries of what is possible in term of understanding sport performance analysis and judging. As such, investing in technology is part of Swiss Timing innovation strategy and considered a key activity.

During this internship, you will be responsible to explore the possible applications of a given technology in key sports and make appropriate recommendations. You will have to identify sport-specific key performance indexes impacting performance and to consider sport specific operational constraints. You would finally implement a proof-of-concept solution to quantify and measure impact on sport performance incl. training of an AI model.

Furthermore, we expect you to make recommendations for needed system upgrades taking Swiss Timing’s existing CV systems currently in use as a baseline. You will be in charge to develop real-time, automated, robust and accurate solutions, which run on Microsoft technology stack (edge and/or cloud). When needed, you will conduct data acquisition and testing activities in the field.