AI/machine learning based algorithm and software development for action event detection and football player analytics PhD

Department(s):
Mechanical, Electrical and Manufacturing Engineering
Entry requirements:
2:1+
Full-time:
4 years
Part-time:
not available
Reference number:
CDTEI_Li
Start date:
July or October 2018
Is funding available?
Yes
UK/EU fees:
N/A
International fees:
N/A
Location:
Loughborough
Application deadline:
31 January 2018

Achievements

3rd

in the UK for research quality

REF 2014

10th

in the UK for Mechanical Engineering

The Complete University Guide 2018

Winner

of 2 Queen's Anniversary Prizes

Overview

Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

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. 

Project detail

The studentship is co-sponsored by sports technology company, StatMetrix and you will join a growing research group within the Department of Computer Science. This project is an exciting opportunity to develop machine learning and pattern recognition based algorithms and software to address several challenges in football player analytics using video and wearable sensor data. We aim to detect performance relevant events and motion data, such as ball passing, running, shot, speed, position, direction and trajectories.  The developed intelligent software will provide performance data insights for football coaches and scouts to better understand player performance trends and identify talented players. 

We are seeking excellent candidates with interests in Artificial Intelligence (AI), machine learning and deep learning who want to study at a top 10 UK research-led University whilst working with industrial partners. 

This project is part of the EPSRC Centre for Doctoral Training in Embedded Intelligence.

Loughborough University aims to ensure equality for men and women. We follow the principles of the Athena SWAN Charter by wishing to attract, support, and reward women in STEMM at all career stages

Supervisors

Primary supervisor: Dr Baiihua Li

Secondary supervisor: TBC

Find out more

For further project details email Dr Baihua Li or register your interest and ask us a question.

Visit the CDT-EI website or Statmetrix website to find out more.

Entry Requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in related Computer Science, Engineering or Mathematics degree with strong programming skills (e.g. Matlab, C++, Python) and knowledge of artificial intelligence and computer vision. A relevant Master’s degree and/or experience in machine learning and deep learning is desirable, as is a passion in intelligent systems, sports technology and football performance analytics.

Applicants must meet the minimum English Language requirements, details available on the website.

Fees and funding

UK/EU:
N/A
International:
N/A

Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

The studentship is for four years and provides a tax free stipend of £17,553 per annum for the duration, plus tuition fees at the UK/EU rate. In order to qualify for a full award, all applicants must meet the EPSRC eligibility criteria including the minimum UK residency requirement.   

How to apply

All applications should be made online.  Under programme name, select “CDT Embedded Intelligence Wolfson School”

Please quote reference number: CDTEI_Li

Application details

Reference number: CDTEI_Li
Start date: 01 July or October 2018
Application deadline: 31 January 2018
Interview date: TBC

Explore