In the past, players, coaches and managers often made decisions based on their experience and intuition. In this era of big data and abundant computing power, more are looking into data-driven models to find winning strategies. Our sports analytics project is a multi-disciplinary research work of applying formal methods, machine learning, and compute vision to computational sports analytics. For more background information, please refer to https://www.youtube.com/watch?v=DQMXxPWMNWg&t=885s
We are looking for internship candidates who will learn and apply the above mentioned techniques to build probabilistic game models by mining various data sources (including text and videos). Candidates with good performance will be recommended to apply for a NUS PhD research scholarship. The details of the scholarship can be found at https://www.comp.nus.edu.sg/programmes/pg/phdcs/scholarships/
Final year undergraduates or postgraduates in computer science or engineering. Able to work on this project as a full time research intern for at least 6 months in Singapore.
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