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.

If you are interested in this opportunity, please contact James Walker, Anders Drachen, Florian Block, Victoria Hodge or Simon Demediuk for more information.

Required skills

  • [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.

Supervisor(s)

James Walker
Anders Drachen
Florian Block
Simon Demediuk
Victoria Hodge