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Development of a Bayesian Network Approach for Analysing Interdisciplinary Social Science and Biological Data: The Case of Antimicrobial Resistance

  • Full or part time
  • Application Deadline
    Monday, April 06, 2020
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

About This PhD Project

Project Description

Big data across diverse disciplines is a growing resource and challenge. There is an urgent need for advanced analytical methods to maximise the potential benefit for population health. The aim of this PhD project is to develop methods used in computational biology – Bayesian networks – to investigate the issue of antimicrobial resistance (AMR), a huge global health threat. This interdisciplinary project will join expertise in social sciences with data science / computational modelling, and biomedical and genomic expertise. For this we will use data collected through a large international consortium (the HATUA consortium) which provides a unique individual and community-level dataset of social, environmental microbiological and genomic data collected in Kenya, Uganda and Tanzania. The project will contribute to developing methods needed for applying Bayesian networks to social science data, and the substantive findings about the drivers of AMR will inform global health strategies.

Funding Notes


Eligibility:
Applicants must meet the following eligibility criteria:
Applicants must meet the following eligibility criteria:
• A first class or an upper secondary undergraduate or master’s degree in any area of quantitative social and health sciences, applied mathematics, computer science, or biostatistics.
• The scholarship is open to UK and EU students.

Students must meet ESRC eligibility criteria. ESRC eligibility information can be found here: https://esrc.ukri.org/skills-and-careers/doctoral-training/prospective-students/

EU students who do not fulfil the ESRC’s residence eligibility criteria will be entitled to a Fees Only award (please check the ESRC’s residential guidelines which can be accessed at: https://www.sgsss.ac.uk/studentships/eligibility/). However, the University of St Andrews provides, on a competitive basis, maintenance stipends at the Research Council rate for EU PhD students who have been awarded a Research Council fees-only scholarship (and who start their degree in the academic year 2020-21).

Award Details:
The scholarship is available as a +3 or a 1+3 programme depending on prior research training. This will be assessed as part of the recruitment process. The programme will commence in September 2020. It includes:
• an annual maintenance grant at the RCUK rate (2020/21 rate £15,285 full-time)
• fees at the standard Home rate
• students can also draw on a pooled Research Training Support Grant, usually up to a maximum of £750 per year

http://www.sgsss.ac.uk/studentship/development-of-a-bayesian-network/

Applications will be ranked by a selection panel and applicants will be notified if they have been shortlisted for interview by mid-April. Interviews will take place on week of 4th May.

All scholarship awards are subject to candidates successfully securing admission to a PhD programme within the University of St Andrews. Successful scholarship applicants will be invited to apply for admission to the relevant PhD programme after they are selected for funding.

Related Subjects

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