KTP
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.
Further information is available at: https://iuk-ktp.org.uk/.
THE PROJECT
The University of Essex in partnership with Sports Information Services Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop novel computer vision-based techniques for information capture and analysis of live-broadcasted eSports events.
DUTIES OF THE POST
The duties of the post will include:
- The design and delivery of a bespoke capability to process live streams of games and gamers to identify in-game events to support the collection of data and associated statistics.
- Align live-captured data to improve the quality of prices (odds) for both in-play markets and future pre-match markets for future events.
- To implement the capability for extremely low-latency AI calculations, able to react to the accumulation of statistics across the course of a game.
- To make use of historical game data and video feeds to identify irregular play patterns.
- Communicating the objectives and progress of a project effectively with key internal stakeholders.
- Combining the usage of multiple coding languages by delivering a final product using the appropriate technology, such as Python, whilst working alongside colleagues familiar with Java and .NET.
- To contribute to the development of in-house AI and data science capabilities within SIS TV in order to increase operational independence.
These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.
KEY REQUIREMENTS
Qualifications
- MSc in Computer Science, Machine Learning, Data Science or another STEM degree (essential).
Skills and Experience
- Thorough understanding of machine learning and deep neural networks; experience of designing and deploying machine learning-enabled tools.
- An understanding of fundamentals of Computer Vision and Video processing as a discipline of AI.
- Experience of building algorithms to process mixed structured / unstructured data.
- Experience of coding in Python, with good command of Tensorflow or Pytorch and related libraries.
- Experience in developing, training and evaluating predictive models using machine learning or deep learning methods.
- Strong general programming skills, with a proficiency in the use of Java.
Attributes
- A keen desire to learn new concepts.
- Demonstrable leadership potential.
- An ability to work independently, to use initiative and work as part of team.
- Strong problem-solving skills, with a particular emphasis on creative solutions.
- Good project management skills.
- An ability to write technical documentation and communicate complex technical issues to a non-technical audience effectively.
- An ability to process video data using computer vision techniques including object detection, pose estimation and temporal analysis.
- An ability to design predictive modelling approaches.
- Previous experience working in an industry setting (desirable).
LOCATION
Sports Information Services Ltd, 2 Whitehall Avenue, Kingston, Milton Keynes, Buckinghamshire, MK10 0AX.
Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here.
Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email .
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