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University of Strathclyde Diversity in Data Linkage Doctoral Training Centre (STRADDLE DTC) – Clinical Health


Project Description

In recent years, the health sector has seen a significant increase in the volume and diversity of data that is gathered and stored on a daily basis. Ranging from administrative data, clinical observations and patient level attributes, through to epidemiological, omics data and images, the data is frequently siloed, often in different organisations, and analysed in the absence of the other data streams relating to that individual. To take advantage of the growing availability of these data types, a more comprehensive, systems modelling approach needs to be applied to account for multiple dimensions, integration of diverse data types, and changes over time. The STRADDLE DTC brings together experts in basic science, image analysis, statistics and health economics that are focused on deriving clinically relevant hypotheses from fusing a diverse range of datasets generated from molecular up to population level data. This collaborative and highly interdisciplinary approach has the potential to achieve new insights in to disease and to maximize the value of health research data.

We are looking for applicants to join our ground breaking PhD programme, to help explore and advance new methodology, develop new visualisation and data analysis tools that are capable of harnessing the full potential of these diverse data sets. As a PhD candidate, you will sit within the Mathematics and Statistics department of the University of Strathclyde but flexible project directions will allow for direct supervisory links in to the Pharmacy, Engineering and Business School departments. As a Strathclyde University PhD candidate, you will have access to the Strathclyde Researcher Development programme (PG Cert) offering you a competitive advantage as a research professional.

How to Apply:
Applicants must have obtained, or expect to obtain, a first or 2.1 UK honours degree, or equivalent for degrees obtained outside the UK, in a quantitative or scientific discipline.
Please direct all enquiries and applications to or

Applications will be reviewed when received, shortlisted candidates will be invited to interview on a rolling basis and it is anticipated that PhD Studentships will start in October 2019. The application process will remain open until all positions are filled.

All applications must be submitted via email (subject line: PhD applicant – University of Strathclyde STRADDLE DTC) as a single pdf file and include the following:
1) A cover letter (max 1 page) explaining your interest and fit to the DTC programme
2) A CV (maximum three pages)


Supervisor Webpages

https://www.strath.ac.uk/staff/kavanaghkimberleydr/
https://www.strath.ac.uk/staff/murraypauldr/

Funding Notes

Funding will cover full tuition fees for UK/EU candidates, and provide a tax-free PhD stipend in the region of £14,000 per annum. Please note that candidates outside the EU will not be eligible for funding under this studentship.

How good is research at University of Strathclyde in Mathematical Sciences?

FTE Category A staff submitted: 32.90

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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