Physics: Fully Funded PhD Scholarship at Swansea University: Raman Spectroscopy and Colorectal Cancer: Transforming the urgent suspected cancer referral pathway
- Full cost of UK/EU tuition fees, plus a stipend
- Deadline: July 18, 2018
This scholarship is supported by Cancer Research Wales.
Start date: 1 October 2018
Supervisor 1: Professor Peter DunstanSupervisor 2: Professor Dean Harris (Consultant surgeon)Supervisor 3: Professor Cathy Thornton
The project builds upon existing research activity with a focus on Raman spectroscopy applied to liquid blood serum to generate accurate liquid biopsy diagnostics for cancer. The PhD student will be involved in design, modelling, construction, testing and proof-of-principle experiments. The project involves acquiring experimental data from patient samples and performing detailed spectral analysis including making use of computational model development to include machine learning. The work builds upon existing research within Swansea University at developing diagnostics for colorectal cancer from blood serum. The work anticipates a highly skilled graduate, particularly from both the numerical and computational problem-solving aspects but has a requirement on experimental work. The group is interdisciplinary in its approaches with support in place via the extensive collaboration between medicine and physics colleagues. Prior experience that can be brought to the project will be highly beneficial. During the research the PhD candidate will be expected to be involved with multiple partners including the NHS and external stakeholders as the project develops.
They will also be expected to push the development of our understanding of biomarkers. The successful applicant will be involved in interdisciplinary and future application thinking, dissemination of results and the production of high impact journal publications, developing our research network, and contribute to outreach activities to maximise impact and public understanding of the work.
Candidates must have a first, upper second class honours or a Master's degree with Merit, in a relevant discipline.
Candidates should include details in their application which focus on key skills they can bring to the project. It is highly desirable that candidates have extensive data analysis skills and have experience of coding (e.g. R, Python, Matlab and/or Mathematica) to generate predictive models and incorporate aspects of machine learning. Candidates would be expected to demonstrate in their application their versatility at working and communicating across disciplines. They should give clear examples of experiences where they work effectively to deadlines, project-managed and prioritised their workload.
For candidates whose first language is not English, we require IELTS 6.5 (with 6.0 in each component) or equivalent. Please visit our website for a list of acceptable English language tests. We prefer candidates to have already met the English Language requirements at the point of application, although this is not a requirement.
Due to funding restrictions, this scholarship is open to UK/EU candidates only.
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This three-year fully-funded scholarship covers UK/EU tuition fees and an annual stipend of £14,777 updated each year.
Please visit our website for more information.
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