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Al and Machine Learning applications for the management of health and well-being

Fully Funded PhD project (Start date: February 2019)

Project description

The project will investigate the applicability of various data science, AI and Machine learning techniques for the classification and prediction of health and well being related factors and risks. These should in turn help inform the understanding and better management of key aspect(s) health and well being. Examples might include the in-depth analysis of data relating to the management of weight, diabetes, diet and exercise.  

A key scientific challenge will be to achieve high level of optimisation performance based on multiple objectives, in such a dynamic environment. This research project will build on an existing collaborative project (with University of Seville, Spain) which involves the use of artificial intelligence methods, namely genetic and other evolutionary computing algorithms, for the efficient and dynamic adjustment of the locations of drones for natural disaster management, using simulation scenarios.

Your background

  • A good undergraduate degree, preferably an MSc, in Computer Science or a related area, with demonstrable knowledge or experience in applying AI/Machine learning.
  • Good scientific programming skills (e.g  using Matlab, Weka, Python and/or or C++ )
  • Familiarity with Artificial Intelligence especially machine learning
  • Positive attitude towards working as part of a collaborative research project.

Register your interest

Expressions of interest should be sent to Prof. Hissam Tawfik (h.tawfik@leedsbeckett.ac.uk) by 30th November 2018, you will then be sent an application pack. 

Application Deadline

  • 7th December 2018. 


Each studentship will have:

  • A stipend of £14,777 per year, paid monthly
  • A tuition fee waiver

Length of Studentship

The PhD studentship is for a period of 3 years full-time study. Annual renewal will be subject to satisfactory progress.

Start date and Induction

The start date of the studentship is February 2019. The successful candidate will attend a compulsory induction at the beginning of February at Leeds Beckett University.

Part of the Research Culture

We expect bursary students to be an integral part of the research culture of the university, contributing to seminars and conferences, perhaps to projects, and generally engaging in the exchange of ideas. Associated with this, all research students undertake a research training programme.

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 £12,500. The fee difference must be paid prior to starting. Overseas applicants must refer to the UKVI regulations on studying in the UK and contact Research Admissions - telephone: +44 (0)113 812 5385 before submitting.

Applicants should apply through Leeds Beckett graduate school: Researchadmissions@leedsbeckett.ac.uk.

Applicants should submit the following:

  • A completed application form and a full CV
  • A two page outline of your proposed research project based the topic described above
  • Copy of Photo page from passport
  • Certificates and transcripts
  • Proof of English (for EU/international applicants only IELTS, PEARSON OR TOEFL)
  • Ensure all sections of the application are completed
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