PhD Studentship Modelling the Risks of AMR from Agricultural Waste to Animal and Human Health University of Nottingham, Department of Biosciences United Kingdom

PhD Studentship Modelling the Risks of AMR from Agricultural Waste to Animal and Human Health


Reference
SCI1870


Closing Date
Sunday, 31st March 2019


Department
Biosciences


Supervisor: Dov Stekel

 

Secondary Supervisor: Sabine Totemeyer Thoedore Kypraios

 

Subject Area:Computational Biology

 

Research Title
Modelling the Risks of AMR from Agricultural Waste to Animal and Human Health

 

Research Description

This project will use mathematical modelling to evaluate the risks to human and animal health of antibiotics and antimicrobials given to farm animals. In particular, we are concerned about the risks associated with application to land of slurry or manure, which contain antibiotics and antimicrobial resistant bacteria because of that use. You will look at two systems: the risk of antibiotic resistant bacteria in crops grown for human food; and the risk associated with sheep transferring resistance around fields that have received slurry.


Two different modelling paradigms will be compared: Bayesian Network models, that allow for probabilistic description of impact of different factors on outcomes; and Dynamical Systems models, that consider changes in populations over time. The project will benefit from extensive data we have generated both on characterising dairy slurry and its impact upon soil, and on resistance in sheep hooves, as well as data from other laboratories.
To apply for this PhD, you should have a BSc and/or MSc degree in a quantitative subject, such as mathematics, statistics, physics or computer science, and a strong interest in applying your quantitative skills to a biomedical problem of huge public importance.


Benefits of joining the Medical Research Foundation National PhD Training Programme in AMR Research.


•All PhD projects will be based within interdisciplinary research consortia funded by the UKRI Cross-Council AMR Initiative.
•All students will have access to enhanced training opportunities including residential skills and training courses, cohort-building activities, and annual conferences. All are designed to expose students to a range of discipline-specific languages and interdisciplinary research skills, which are essential for enabling them to thrive as multidisciplinary AMR researchers.
•PhD students will undertake a fully-funded 3-month interdisciplinary AMR project allowing them to work outside of their primary research area or an elective placement in industry, publishing, media, policy development or in AMR-relevant charities and organisations.
•All Medical Research Foundation-funded PhD students will also be part of a wider cohort of 150 PhD students from across the UK who are also studying AMR. The cohort will have access to a bespoke, innovative online learning environment, which will facilitate peer-to-peer networking, question setting and mentoring.
Further information can be found on our website: bristol.ac.uk/cellmolmed/study/postgraduate/amr

 

Keyword Search
Mathematical model, Bayesian network, statistics, computational biology, probabilistic graph model, antimicrobial resistance

 

Award Start Date: 01/09/2019

 

Duration of Award: 48 months

 

Terms and Conditions

 

This is 4 year fully-funded PhD studentship funded jointly by the Medical Research Foundation National PhD Training Programme in AMR (led from the University of Bristol) and the University of Nottingham.
Stipend at MRC ’plus’ rate £17,000 (2019-20) rising to £18,500 (tax free).


Tuition fees (Home/EU rate only)
Yearly travel allowance
Research costs
Interdisciplinary 3-month research project/placement allowance

 

Applicant Qualification Requirements

 

Minimum 2.1 in undergraduate degree or Merit in Masters degree, at least one of your degrees in a quantitative subject, such as mathematics, statistics, physics or computer science

 

How to Apply

Apply here: nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx
Please give the project title and name Professor Dov Stekel as the main supervisor. You do not need to provide a research proposal as requested on the form; instead indicate that you are applying for a Medical Research Foundation National PhD Training Programme in AMR Research funded project. Please contact Professor Dov Stekel dov.stekel@nottingham.ac.uk if you are intending to make an application so that your application can be processed quickly. You can also contact Professor Dov Stekel with informal enquiries or help with the application.


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