Understanding the effects of model structure in modelling HIV interventions

Eligibility: UK/EU/International graduates with the required entry requirements

Duration: Full-Time – between three and three and a half years fixed term

Application deadline: This opportunity will only remain open until a suitable candidate is identified - early application is therefore recommended

Interview date: Will be confirmed to shortlisted candidates

Start date: Entry points are September, January and May.

Please apply at the earliest opportunity as this project will be recruited to as soon as a suitable candidate is identified.

For further details contact: Dr Zindoga Mukandavire

Introduction

The Research Centre for Data Science (CDS) is based in the Faculty of Engineering, Environment and Computing (EEC) of Coventry University.  It provides a hub to develop cutting edge research in the areas of Artificial Intelligence, Data Science and Future Computing Technologies. The centre has a vocation to push the boundaries of both fundamental science and practical applications. 

About the project

Mathematical models of HIV transmission have been used to understand disease spread in different populations and have been an essential tools for estimating and predicting the impact of public health interventions. These models have been highly influential, being used extensively to inform global and national HIV programmatic priorities.

Over the years, HIV models have become increasingly sophisticated, with refinements to models being made as new epidemiological evidence and prevention approaches emerge. Different modelling frameworks have been adopted to model biomedical interventions such as condom usage, male circumcision, and HIV pre-exposure prophylaxis.  However, it is not clear how the modelling framework structure affects model prediction capability as models increasingly continue to be used as tools to inform public health policy and decision making.

This research will use some of the current HIV biomedical interventions to explore the effects of different modelling frameworks on the model’s mathematical properties and prediction capabilities.

Funding 

This project is offered on a self-funded or externally funded basis. We particular welcome applications from candidates with funding from their home governments or sponsorship from companies.

For the academic year 2020/21:  English, Welsh and EU students can apply to borrow up to £26,445 to help cover the cost of their PhD.  Find out more about PHD Loans.

Benefits

The successful candidate will receive comprehensive research training including technical, personal and professional skills.

All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities. 

The candidate for this project will work in the Centre for Data Science amongst other researchers employing similar data science techniques to a wide variety of problems and applications.  With access to cutting edge techniques and high performance computing resources, the Centre for Data Science is an ideal place to pursue a PhD in Data Science, Machine Learning, or Artificial Intelligence.

Entry requirements

  • A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average. 
    PLUS 
    the potential to engage in innovative research and to complete the PhD within a 3.5 years
  • a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)

In addition

  • Applicants should have a background in Mathematical Sciences.

 

How to apply

All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project. 

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