PhD Studentship – Mathematical modelling of antimicrobial resistance
- Closing Date
- Tuesday, 31st January 2017
Supervisor: Dov Stekel (School of Biosciences)
Secondary Supervisor: Theodore Kypraios (School of Mathematical Sciences)
Mathematical and Statistical Modelling of Risk of Emergence of Antimicrobial Resistant Bacterial Pathogens and Reservoirs in Agricultural Slurry
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.
Award Start Date: 25/09/2017
Duration of Award: 48 months
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 nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx naming Dov Stekel as the main supervisor and using the title and research description from this advertisement.