PhD Studentship: Exploring The Role of Novel Wearable Technologies for Precision Medicine in Pregnancy

University of Bristol - Bristol Medical School / Department of Population Health Sciences

The project:

Background: The PhD will use data from birth cohorts to develop and apply methods for analyzing very dense repeatedly assessed data in pregnant women and determining the extent to which such models can accurately identify women’s risk of adverse pregnancy and perinatal outcomes. Analytical methods that will be explored will include established methods for repeat measurements such as structural equation models, multilevel models, area under the receiver operating curves, comparing mean to variation methods and more novel machine learning methods. Work will extend the use of data from continuous glucose monitors. Depending on your background and interests you will also contribute to (i) exploring the value of monitors that can be used to continuously measure multiple metabolites at the same time; (ii) the development and feasibility testing of smartphone and smartwatch apps for unobtrusively measuring patterns of behaviours, or (iii) methods for simultaneously analysing several sets of continuously assessed data. This will be a collaborative project with colleagues based at Bradford Health Research Institute (BHRI).

How to apply:

Please ensure you attach the relevant documents listed here to your application. Please make an online application for this project at choosing  'Faculty of Health Sciences/PhD in Population Health Sciences' as the programme.

Under ‘Funding’, identify MRC as your fee payer. Under Research Details, provide the names of project supervisor. Include these details (MRC and supervisor name) at the top of your Personal Statement.

Please provide a current CV, covering letter, description of how you would approach the project including background, aims, methods (no more than 2 pages), certified copies of degree certificates and transcripts, and two academic references.

Closing date will be  5pm, 21 March, 2018

Interviews will be held on 9 April, 2018

Only applicants from the EU and UK are eligible for this programme.

Candidate requirements:  Applications are welcome from high performing individuals who have, or are expected to obtain, a 2.i or higher degree (or equivalent) in statistics, epidemiology, computer science or related quantitative discipline. Possession of a relevant research Masters degree or experience within medical research will be an advantage.

Funding: This studentship is funded by the Medical Research Council. The studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend of £14,553p.a. for 2017/18 (updated each year) as well as £2000 per year for research costs and training.

Contacts:  For further information on the project and how to apply please email Prof. Deborah Lawlor (

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South West England