PhD Studentship

Updated: 5 months ago
Location: Nottingham, SCOTLAND
Deadline: 31 Mar 2017

Closing Date
Friday, 31st March 2017

Supervisor: Dov Stekel

Secondary Supervisor: Theodore Kypraios (School of Mathematical Sciences)

Subject Area:Mathematical modelling of antimicrobial resistance

Research Title
Mathematical and Statistical Modelling of Risk of Emergence of Antimicrobial Resistant Bacterial Pathogens and Reservoirs in Agricultural Slurry

Research Description

Antimicrobial resistance (AMR) is major global challenge to human and animal health and welfare. This project will develop mathematical models that can be used to assess the risk of emergence of bacterial strains, including pathogens, with new combinations of antimicrobial resistant genes, and the impact of different farm interventions on these risks. The models will be fitted to experimental data derived from the EVAL-FARMS project, which is assessing the possible selection for antimicrobial resistant bacteria in slurry from the University of Nottingham’s dairy farm. Specifically, the project will develop hybrid deterministic/stochastic population models that can describe large populations of many different strains of bacteria, but with rare, random events to describe the acquisition, loss or transfer of a resistance of or between bacterial strains. Similar models have been successfully used in describing virus dynamics. Data fitting will use advanced Bayesian techniques, including Markov Chain Monte Carlo, and approximate Bayesian techniques where experimental data is partially observed. The probabilistic framework will then be used to associate levels of risk to emergence of new resistant strains, and to assess the impact of different farm interventions.

Keyword Search
Mathematical model, Bayesian, Markov Chain Monte Carlo, Antimicrobial Resistance, AMR, MCMC

Award Start Date: 25/09/2017

Duration of Award: 48 months

Terms and Conditions:n/a

Applicant Qualification Requirements

At least a 2.1 (Hons) degree or equivalent in a relevant quantitative subject, e.g. mathematics, statistics or physics. For EU students, English Language IELTS scores of at least 6.5 (no less than 6.0 in any element). A Masters degree in a relevant subject would be desirable but not essential. Computer programming skills in a relevant language, e.g. C/C++, Python, R or Matlab would be an advantage. The award is available for UK or EU students only.

How to Apply

Please apply on-line at  naming Dov Stekel as the main supervisor and using the title and research description from this advertisement.

Closing Date: 31/03/2017

View or Apply