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Clinical data science

   School of Computing

About the Project

Applications are invited for a self-funded, 3-year full-time or 6-year part time PhD project.

The PhD will be based in the School of Computing and will be supervised by Professor Jim Briggs, Professor David Prytherch and/or Dr Ina Kostakis.

The work on this project could involve:

  • data science analysing anonymised clinical data from hospital patients
  • contributing to a study furthering medical knowledge or hospital efficiency

Project description

The Centre for Healthcare Modelling and Informatics (CHMI) is a long-established health informatics research and innovation group. In collaboration with Portsmouth Hospitals and others, our work in clinical outcome modelling has supported the development of the VitalPAC vital signs collection system (now known as CareFlow Vitals) and the National Early Warning Score (NEWS) recommended by the Royal College of Physicians and mandated by the NHS, among many other projects. More recently we have looked at how the risk to a patient may be predicted prior to surgery.

We are looking for high quality numerate graduates who wish to develop their data science skills on applications that may have rapid health service adoption. We work closely with our clinical partners to understand the ways in which their data is collected and how it can best be used to promote better outcomes for patients and better efficiency for the clinicians (e.g. doctors and nurses) involved and their organisations (e.g. hospitals).

We are particularly interested in work that monitors trends in a patient's condition over time, and identifying the appropriate point at which to intervene. Alternatively, we are broadening the scope of our work beyond its origins in general patient deterioration to other more specific medical areas, including surgery, intensive care and emergency medicine.

The successful candidate will join a team of academics, research staff and other PhD students who work closely with NHS clinicians and data scientists. We have excellent computing facilities and a friendly and supportive working environment.

General admissions criteria

You'll need a good first degree from an internationally recognised university or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Specific candidate requirements

High level of numeracy; confidence in dealing with data analysis. Previous health sector experience is not essential.

How to Apply

We encourage you to contact Professor Jim Briggs () to discuss your interest before you apply, quoting the project code below.

When you are ready to apply, please follow the 'Apply now' link on the Health Informatics PhD subject area page and select the link for the relevant intake. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process. 

When applying please quote project code:COMP5931023

Funding Notes

Self-funded PhD students only.
PhD full-time and part-time courses are eligible for the UK Government Doctoral Loan (UK students only).

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