Esports Analytics (Summer School 2019)
Esports is a rapidly growing subsection of the games industry and associated culture where video games are played competitively. In 2017, over 388 million people worldwide played or watched esports, and the number of esports fans is projected to grow a further 50% by 2020.
DC Labs and the associated WeaVR project have made a substantial research investment in esports in collaboration with a number of leading industrial partners. We are using Artificial Intelligence (AI) and data mining to find patterns in playstyles across many players to help people visualise their stats, learn how to play like a professional and improve their performance.
During the internship there will be opportunities to contribute to the existing research activities through the development of tools, algorithms and software for: the collection, parsing and management of data sets, prediction of events during matches, and identifying roles of players within a match.
- [Essential] Experience of data analytics
- [Essential] Experience of AI and/or machine learning
- [Essential] Experience of software engineering
- [Essential] Knowledge and experience of esports games, such as Dota 2, CS:GO, Hearthstone, etc
How to apply
For more details on the summer school application process (including eligibility and funding) please see the overview page here.