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Coach’s Companion: A Sport Based Joint Cognitive System (SAM33)

Project Description

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

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Project detail

Knowledge to support coaching and team selection is diverse, including tacit knowledge from interactions with people and statistical performance based data. This research will investigate the design and potential benefits of a knowledge system to assist coaches to systematically manage their knowledge. This project will leverage recent research from the manufacturing domain by Peter Denno (under the supervision of C.E. Dickerson and J.A Harding) using Jupyter Notebooks to integrate technologies and Apps.

This research will adopt a “system of systems” approach in which all the contributing joint cognitive systems are assumed to interact – hence the proposed knowledge system must aid humans who interact with machines and with other humans. Consolidation and background analysis of the multiple sources of knowledge and experience are essential elements of this research. It is envisaged that an implementation of procedures such as Principal Component Analysis will run in the background to synthesise the coach’s observations with various sources of knowledge for the purpose of discovery of problem and solution drivers. Different approaches to analyse the knowledge and experience will be examined including the approach taken by the US Oakland A’s baseball team about 10 years ago when they hired a statistician to relook at the traditional use of data collection for professional baseball.

The elements of research would include systems engineering, knowledge engineering, and sport technology. The research outcomes can benefit small or disadvantaged enterprises and teams, as well as large.

Find out more: Jupyter Notebooks -

Start date of studentship: 01 October 2020.

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Systems Engineering, Computer Science, Knowledge Engineering, Manufacturing Engineering and Management, Sports Technology or related Engineering discipline. A relevant Master's degree and / or experience in these subject would also be an advantage.

How to apply

All applications should be made online at Under programme name, select ‘Mechanical, Electrical & Manufacturing Engineering’.

Please quote reference number: SAM33.

Funding Notes

Applicants who apply for this project will be considered on a competitive basis in March 2020 against candidates shortlisted for this and other projects with the advert reference beginning ‘SAM’. Early submission is advised, and a complete application must be received before the advert’s closing date.

If successful, candidates will be awarded a 3-year school studentship providing a tax-free stipend and tuition fees at the UK/EU rate (currently £15,009 and £4,327, respectively, in 2019-20 which are likely to rise by 2020/21). Non-EU-nationals may apply but the studentship will cover the cost of the international tuition fee only.

Successful candidates will be notified by 26 March 2020.

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