Excellent opportunity in Science and Technology at the University of Surrey for highly motivated students. Four years fully funded (UK tuition fees and stipend) PhD project commencing in October 2021. This PhD studentship is part of the Industrial Cooperative Awards in Science & Technology (iCASE) EPSRC programme.
In this project, the student will use routinely collected NHS data from one of the UK’s largest primary care databases, Orchid, to study the usage and predictive validity of tumour markers. This is a collaborative project.
|Scholarship Sponsor||University of Surrey|
|Scholarships level||PhD studentship|
|Fellowship Period||Four years|
|Study area||Science & Technology|
|Opening date||February 18, 2021|
Over-diagnosis (false positives) and under-diagnosis (false negatives) of cancers are sources of significant burden for patients and the NHS (cost and resources). Tumour markers measured from blood are increasingly used but have limited accuracy and predictive validity. The student will develop and validate predictive models for more accurate diagnoses of cancers using routinely collected NHS healthcare data. We will improve the understanding of the predictive value of tumour markers about clinically relevant outcomes – e.g. the need for treatment. In the future, this could enhance the usage of NHS resources and patient care.
Primary care and hospitals are developing large clinical datasets that could become powerful tools to support clinical decisions. This is a rapidly evolving area because the quality and volume of healthcare data are increasing. The University of Surrey with NPL and the tow strategic partners (the University of Oxford and STFC) will provide, academic environment, expertise, access to data and innovative approaches required for the successful delivery of the project.
The student will develop skills in:
- Curation and analysis of sizeable routine healthcare databases
- Predictive modelling
- Novel applications of machine learning to healthcare data
The deadline for applications is Open
- Applications are assessed on an individual basis, taking into account academic qualifications and relevant experience.
- Applicants must have a UK first-class honours degree, or its international equivalent, in an appropriate subject, or a UK 2:1 honours degree plus a UK Master’s degree, or their international equivalents, or relevant qualifications and experience.
- Programming skills. Experience of R will be an advantage
- Strong interest in healthcare and cancer
- Experience in the analysis of healthcare data and a healthcare background will be an advantage
- Excellent communication and organisational skills
- Ability to work independently and as part of a team
- Previous research publication track record will be an asset
- This studentship is only available to UK students.
- This studentship covers the tuition fee at the UK fee rate (£4,500) and a stipend for four years at the standard research council rate (at £15,609 in 2021/22).
- The grant will be topped up by an additional £3,000 per year, taken from the financial contribution by NPL.
- Additional funds are also available for training and travel costs for visits to the NPL, other project partners and academic conferences.
- Please visit the UKRI website for more information and eligibility criteria.
Applications should be submitted through the University of Surrey website. Applicants are welcome to contact the primary supervisor, Dr Agz Lemanska, for informal enquiries before applying for the studentship.
The student will be predominately based in the Faculty of Health and Medical Science, University of Surrey, with three months a year placement at NPL.
Documents Required for Application:
- All degree certificates and transcripts
- Your curriculum vitae
- A research statement – outlining any areas of interest, motivations and previous experience
- Two references