Greater Manchester Connected Health Cities PhD programme
We are seeking highly motivated students from a variety of backgrounds including mathematics, statistics, computer science, biomedical sciences and social sciences to study for PhD studentships in the high impact and fast-moving field of digital health.
Connected Health Cities is a government-funded programme that aims to create learning health systems across northern England by harnessing data that is routinely captured by health services, applying advanced data analytics methods, and feeding the results back to clinicians, patients, public health professionals and others in the health service, in order to deliver better outcomes for patients and communities.
The Greater Manchester Connected Health City (GM CHC), one of four funded, will establish a learning health system across Greater Manchester, enabling the trusted re-use of healthcare data, efficient data preparation and big data analytics, with results implemented and actioned back in the NHS.
In order to do this, we work across many groups including NHS Trusts and industry to develop an infrastructure that supports data sharing and analysis, public engagement and liaison with governing bodies to define an appropriate ethical and governance framework, development of new methodologies to analyse health data and communication of findings with relevant groups.
The GM CHC programme focuses on three clinical exemplars to develop and test its methodology:
- reduction of overprescribing of antibiotics and antimicrobial resistance
- acute and post-acute care for patients with stroke
- community wound care.
As a PhD student on this programme you will be hosted at The University of Manchester in a thriving research environment alongside students in the Health eResearch Centre (HeRC) as well as a wider Connected Health Cities PhD network.
This provides an opportunity to transfer knowledge between institutions and with external collaborators including NHS, industry partners and other academic institutions. Supervisors have been drawn from across the GM programme and the projects align with the learning health systems concept.
We have five projects available:
- Analytical services for health and social care stakeholders in the GM Ark
- Evaluating the effectiveness of introducing new interventions in the NHS across different settings and populations using big data
- How can we develop a new social licence for the commercial use of health data in the North of England?
- Predictive methods for learning health systems
- Sharing data, knowledge and algorithms in a learning health system
Potential students must first discuss the project with the appropriate named academic supervisors and obtain permission to apply.
Applications should be submitted online to The University of Manchester. On the online application form, select PhD Health Informatics.
Applications should include the following supporting documents:
- supporting statement – outlining your research experience and interests;
- choice of project/supervisor (indicate in Step 3 of the online application form);
- names of two academic referees.
Read further guidance on the application process.
Applications should be submitted online no later than 5pm on Friday, 17 February 2017.
Studentships are funded for three years and provided with a stipend and fees. At present, due to funding restrictions, we can only accept applications for funded places from UK/home applicants.
Overseas applicants who are self-funding or in receipt of a scholarship are welcome to apply, but are requested to contact Georgina Moulton at the Farr Institute (firstname.lastname@example.org) prior to submitting their application.
Students should have a minimum of an Upper Second class (2:1) undergraduate degree in an appropriate discipline. It is also preferable for candidates to hold or be completing a master’s qualification in an appropriate field.
Please note: each project specifies the student background required.