PhD Studentships

PhD Studentships

Are you interested in medical research that matters to patients and the NHS?

The MRC Network of Hubs for Trials Methodology Research (HTMR) aims to Improve health by improving trials. Our PhD programme presents a unique opportunity to undertake training for a PhD in trials methodology research.

We have projects suitable for statisticians, mathematicians, biologists, health economists, qualitative researchers, epidemiologists, psychologists, social scientists, health service researchers, and those with appropriate qualifications currently working in trials.

Some projects have been identified as suitable for a Clinical Research Training Fellowship (listed as "clinical or either" in table below). For details on clinical eligibility see here

 

How to apply

You should apply for your first choice project, but can also tell us about two further projects you’re interested in. Projects are only available at the universities listed and are non-transferable.

Applicants must discuss their application with the project supervisor of their first-choice project by 9 February 2017.

For all projects an enhanced student stipend is available.

> £19,726 per year for projects in London

> £17,726 per year for projects elsewhere

The deadline for completed application forms is 4pm (GMT) 13 February 2017. Click here for guidelines and the application form Please email your application to enquiries@methodologyhubs.mrc.ac.uk

 

Interviews of shortlisted candidates will take place in London on 8th or 10th March 2017. Please note our willingness to accept an application does not guarantee you will be invited for interview, nor that support will be provided.

 

Residence requirements

Due to funding restrictions only home/EU applicants are eligible for funding through this programme. Eligibility and residence requirements must be met. Candidates are advised to review the RCUK/MRC studentship documentation for full details.

http://www.rcuk.ac.uk/RCUK-prod/assets/documents/documents/TermsConditionsTrainingGrants.pdf for more information.

For purposes of residence requirements the UK includes the United Kingdom and Islands.

To be eligible for a full award a student must have:

· Settled status in the UK, meaning they have no restrictions on how long they can stay

and

· Been ‘ordinarily resident’ in the UK for 3 years prior to the start of the studentship. This means they must have been normally residing in the UK (apart from temporary or occasional absences)

and

· Not been residing in the UK wholly or mainly for the purpose of full-time education. (This does not apply to UK or EU nationals).

 

Projects

Ref

Title

Clinical/Non clinical

University

Hub

Supervisor

R1

Investigating the role of single-arm trials in drug development plans

Non

University of Cambridge

BSU

Adrian Mander

R2

Bayesian dose adaptive trials with multiple outcomes

Non

University of Cambridge

BSU

Adrian Mander

R3

Bayesian dose adaptive trials using non-myopic response-adaptive methods

Non

University of Cambridge

BSU

Sofia Villar

R4

Methods for using high-dimensional biomarker information prospectively in clinical trials

Non

University of Cambridge

BSU

James Wason

R5

Adaptive designs for longitudinal trials to efficiently estimate biomarker change-point outcomes and time-to-change-point

Non

University of Cambridge

BSU

Simon White

R6

Understanding the impact of feedback in Delphi consensus methodology: a case study nested within the development of a core outcome set (COS) for diabetic foot ulcer treatment

Either

University of Bristol

ConDuCT II

Sara Brookes & Ron Hinchliffe

R7

Feasibility and acceptability of developing core outcome sets in effectiveness trials for universal school-based public health interventions

Non

University of Bristol

ConDuCT II

Deborah Caldwell

R8

Developing a modular resource-use questionnaire for use in RCTs

Non

University of Bristol

ConDuCT II

Will Hollingworth

R9

 Exploring patient perspectives of recruitment in randomised controlled trials

Non

University of Bristol

ConDuCT II

Leila Rooshenas

R10

Predicting direction and magnitude of bias in clinical trials

Non

University of Bristol

ConDuCT II

Jelena Savovic

R11

Powering trials on
effectiveness and efficacy outcomes

Non

University of Bristol

ConDuCT II

Nicky Welton

R12

Can routine healthcare data be used to efficiently and reliably follow-up participants in renal trials: analyses using linked data from 2 large renal trials

Either

University of Oxford

CTSU

Martin Landray

R13

Exploiting Unstructured Data in Clinical Trial Settings

Non

University of Oxford

CTSU

Michael Lay

R14

Extrapolation methods for health outcomes and costs  in diabetes randomised trials

Non

University of Oxford

CTSU

Borislava
Mihaylova

R15

Modelling adverse event processing in clinical trials

Non

University of Oxford

CTSU

Will Stevens

R16

Statistical methods for adjusting for treatment changes in randomised trials

Non

UCL

London

Ian White

R17

Improving power and power calculations in randomised trials with non-proportional hazards

Non

UCL

London

Tim Morris

R18

Design of trials for health-related smartphone apps

Non

LSHTM

London

Elizabeth Williamson

R19

Evidence synthesis for biomarker validity to inform biomarker-stratified trials

Either

University of Liverpool

North West

Andrea Jorgensen

R20

Defining outcome measures for medication adherence in clinical trials

Non

Bangor University

North West

Dyfrig Hughes

R21

Web usage data in clinical trials – how can we determine dose?

Non

University of Liverpool

North West

Susanna Dodd

R22

Extensions of the fragility index to non-binary data

Non

University of Liverpool

North West

Carrol Gamble

R23

Trial designs integrating biomarker information for the evaluation of treatment-effect mechanisms in stratified medicine

Non

University of Manchester

North West

Richard Emsley

R24

Evaluating treatments for infectious diseases that could potentially become epidemic

Non

Lancaster University

North West

Thomas Jaki

R25

Record-keeping in patients with inflammatory bowel disease (IBD) within electronic patient record systems: Current practice and motivations for collecting structured data

Clinical

University of Liverpool

North West

Keith Bodger