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  Machine Learning based activity classification and prediction of obesity related risk (in collaboration with More Life)


   School of Built Environment, Engineering and Computing

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  Prof H Tawfik  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

This project will investigate, select and apply appropriate machine learning and data science and mining techniques for the classification and prediction of risks or indicators associated with obesity.

Examples of relevant obesity related analysis include the prediction of weight gain, diet and physical activities based on recent trends and/or on combinations of biological, behavioural and environmental factors.

This research project will contribute to the ongoing collaboration between the School of Computing, Creative Technologies and Engineering and MoreLife, at Leeds Beckett University.

You should have:
- A good first degree in computer science, software engineering, computer engineering or other numerate discipline e.g. electronic engineering with a significant computer programming content or MSc in computer science / artificial intelligence.
- Good scientific programming skills (e.g. C++, Python and/or Matlab).
- Some familiarity with Artificial Intelligence and Data Mining, especially machine learning techniques.
- A positive attitude towards working as part of a collaborative research project.

For a wider discussion before applying please contact Professor Hissam Tawfik via the contact form below.

Application Process:
1. Applications should be submitted in writing to the research project listed.

2. Applicants should complete the research student application form and provide a research proposal using the criteria below as a guide: http://www.leedsbeckett.ac.uk/-/media/files/research/new-application-computing-studentships.doc?la=en

3. The research proposal can be up to four A4 pages in length (with references as an addition to the four-page proposal) using type Arial 12 point.

4. Applicants should include the research project title.

5. Applicants should use the following ‘Computing Studentships’ as the subject in the email subject line when submitting their applications.

THE CLOSING DATE FOR APPLICATIONS IS MIDNIGHT ON 18th JUNE 2017

Read more information on the application process here: http://www.leedsbeckett.ac.uk/research/research-degrees/how-to-apply/

For all enquiries regarding the application process please contact:

Email: [Email Address Removed]

Telephone: +44 (0)113 812 5375


Funding Notes

The awards cover the standard UK stipend (£14,553 in 2017/18; pro-rata into 12 monthly payments and exempt from UK Income Tax and National Insurance) and tuition fees (EU/UK fees only).

Overseas Applicants:

Prospective students from outside of the UK and EU who wish to apply to study at Leeds Beckett University will be required to make up the difference annually between the UK/EU fees to be paid by the University of £4,121 and overseas’ fees of £11,800. The fee difference must be paid prior to starting.

Overseas applicants must refer to the UKBA regulations on studying in the UK and contact [Email Address Removed] or telephone +44 (0)113 812 5385 before submitting.