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Funded PhD Opportunity

Rapid Diagnostics for Antimicrobial Resistant Pathogens

Subject: Engineering


Summary

The (mis)use of antibiotics for more than 50 years has resulted in bacterial organisms becoming resistant to treatment – i.e. antimicrobial resistance (AMR).  Resistant organisms, such as MRSA and C. diff are commonly identified in healthcare facilities across the globe; annually 700,000 fatalities are directly attributed to drug resistant infections.  A recent report from The Review on Antimicrobial Resistance, chaired by Lord O'Neill, projects that drug-resistant infections could kill 10 million people annually across the world by 2050 incurring a global financial cost of $100 trillion (1).  Issues surrounding AMR are not limited to human medicine, with new approaches towards the management of animals and the environment also required – a One Health approach is being promoted. Standard techniques for the identification of pathogenic and AMR organisms are based upon the growth of patients’ samples on agar plates (phenotypic methods), which require 48 - 72 hours toidentify organisms such as MRSA, and several weeks for the pathogens causing Tuberculosis (2).  Advances in hardware and software have resulted in the development of a small number of rapid diagnostic tests which can provide results within hours of a sample being taken, however these tests do not have the sensitivity or speed of analysis to aid a medical practitioner (e.g. a GP or a vet) to identify the organisms causing a disease or to provide information on the resistance of organisms to antibiotics.  As such, antibiotics are often prescribed to a patient with a viral disease (e.g. the cold or flu) and worse than having no therapeutic effect, increase the development of resistant organisms with the patient (1).  Rapid genomic based approaches, such as the use of the whole genome sequencing, have shown significant promise in reducing the time required to detect resistant pathogens and therefore clinicians can administer more targeted medical therapy within hours.

This PhD project will develop rapid tests to classify pathogens and identify their sensitivity to a range of antimicrobial compounds, in a bid to provide rapid and accurate information to permit a medical practitioner to prescribe antibiotics in an informed, targeted and more appropriate way.  The project will involve the development of next-generation lateral flow devices, based on multiplexed nucleic acid detection, and star shaped nanoparticles for surface enhanced raman spectroscopy  (SERS).  This underpinning technology has wide application for sensitive and specific bacterial detection in water, food, human and veterinary medicine. The supervisory team at NIBEC have significant experience in microbiology, molecular biology, nanoparticle preparation & characterisation and the development of lateral-flow based point-of-care tests - from first principle experiments, rapid prototyping, computational analysis and app development through to patient trails.  Successful student/s will work along side researchers on a number of ongoing national and international research projects within NIBEC.

References:

(1) O’Neill (2015) Rapid Diagnostics: Stopping Unnecessary Use of Antibiotics.  Published online: http://amr-review.org/sites/default/files/Paper-Rapid-Diagnostics-Stopping-nnecessary-Prescription-Low-Res.pdf

(2) Wenzler et al (2016) Controversies in Antimicrobial Stewardship: Focus on New Rapid Diagnostic Technologies and Antimicrobials, Antibiotics, 5, 6 (doi: 10.3390/antibiotics5010006).


Essential criteria

  • Upper Second Class Honours (2:1) Degree or equivalent from a UK institution (or overseas award deemed to be equivalent via UK NARIC)

Funding

    The University offers the following awards to support PhD study and applications are invited from UK, EU and overseas for the following levels of support:

    Vice Chancellors Research Studentship (VCRS)

    Full award (full-time PhD fees + DfE level of maintenance grant + RTSG for 3 years).

    This scholarship will cover full-time PhD tuition fees and provide the recipient with £15,000 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training studentship grant (RTSG) allocation to help support the PhD researcher.

    Vice-Chancellor’s Research Bursary (VCRB)

    Part award (full-time PhD fees + 50% DfE level of maintenance grant + RTSG for 3 years).

    This scholarship will cover full-time PhD tuition fees and provide the recipient with £7,500 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training studentship grant (RTSG) allocation to help support the PhD researcher.

    Vice-Chancellor’s Research Fees Bursary (VCRFB)

    Fees only award (PhD fees + RTSG for 3 years).

    This scholarship will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training studentship grant (RTSG) allocation to help support the PhD researcher.

    Department for the Economy (DFE)

    The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £ 15,009 per annum for three years. EU applicants will only be eligible for the fee’s component of the studentship (no maintenance award is provided). For Non-EU nationals the candidate must be "settled" in the UK. This scholarship also comes with £900 per annum for three years as a research training studentship grant (RTSG) allocation to help support the PhD researcher.

    Due consideration should be given to financing your studies; for further information on cost of living etc. please refer to: www.ulster.ac.uk/doctoralcollege/postgraduate-research/fees-and-funding/financing-your-studies


Other information


The Doctoral College at Ulster University

Key dates

Submission deadline
Monday 19 February 2018

Interview Date
Mid March 2018


Applying

Apply Online  


Contact supervisor

Dr Patrick Dunlop


Other supervisors

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