Optimising networks to control multiple possible pathogens

Livestock trades can be recorded and modelled as a dynamically changing network (known in theoretical computing science as a graph). Strategic changes to such a network may be made to limit the susceptibility of the network to disease: for example, links may be removed, simulating disease monitoring over an established trade route, or the implementation of a vaccination or biosecurity strategy. However, such changes must be made with consideration of a wide variety of factors, including the resilient ability to provide flow of livestock, and the susceptibility to a wide variety of possible diseases. It may be that a network optimisation that makes the network less susceptible to one type of epidemic increases its susceptibility to another type of epidemic.

In this project, the student will consider several agriculturally-derived network models from both a theoretical and computational standpoint, with the balance between these two dependent on the interests and skills of the student. Research outputs will include mathematical characterisations of the relationships between susceptibility of a network to different epidemics, as well as novel computational tools to find optimal network interventions in the context of multiple possible disease incursions.

This project will provide training in mathematical and computational methods and data science techniques, in the application of these methods to an agri-system, and in knowledge exchange and general research skills. In particular the student will gain significant expertise in graph and network optimisation, modelling of agricultural systems, in data processing and documentation, manuscript preparation, and in knowledge exchange in conveying the outcome of the research at appropriate workshops.

The PhD subject proposed will support the growth of Agritech Data-Driven Innovation on the campus, and will align well with the data science elements of the proposal for a GCRF Research Hub on Sustainable Healthy Diets.

Application procedures
Applications including a statement of interest and full CV with names and addresses (including email addresses) of two academic referees, should be emailed to [Email Address Removed]

When applying for the studentship please state clearly the title of the studentship and the supervisor/s in your covering letter.

All applicants should also apply through the University’s on-line application system for September 2018 entry via http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=830

Applicants for the Principal’s career development studentship must also complete the specific on-line application form.

Applicants for an Enlightenment Scholarship must also complete the specific on-line application form.
ALL APPLICATION PROCEDURES MUST BE COMPLETED BY THE CLOSING DATE 16th January 2018