|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||£15,225 Maintenance grant per annum|
|Placed On:||13th March 2020|
|Closes:||19th April 2020|
Lead Supervisor name: Prof. Marcin Budka
Modelling is an important tool to help understand the spread and impact of disease and provides a means through which to optimise surveillance and control measures. Social network analysis and associated modelling approaches are commonly applied tools. These approaches model the connections between individuals or locations by a variety of means and allow inferences to be made as to how rapidly a pathogen may spread through the contact network and allow individuals at high risk of getting or spreading a pathogen to be identified. A key limitation of such models is they assume the network is constant, behaving in the same way over time and in the event of a disease incursion or interventions.
Working with the Centre for Environment, Fisheries and Aquaculture Science (Cefas), an executive agency of the UK government's Department for Environment, Food and Rural Affairs (defra) that is responsible for the control of diseases in aquaculture in England and Wales, this PhD studentship aims to develop a dynamic network simulation model (based on an existing framework) that includes behavioural responses to disease outbreaks and control measures. The project will deliver a network simulation tool that can be applied to investigate disease outbreaks and uses state-of-the-art methods and technologies from other more advanced fields to which network models are applied, such as communications and power networks. This tool will be developed in parallel to an R&D project run by Cefas and funded by defra to understand aquaculture site holder behaviours and trading patterns, which will be used to inform the network structure and it’s response to different key scenarios. Though focussed on aquaculture diseases, it is envisaged that the outputs from the proposed project will be applicable to a wide variety of other systems where understanding progression of an agent or process through a network is of interest.
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £15,225 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
Closing date: The first call for applications will close on 19 April 2020.
For further information on how to apply click the ‘Apply’ button below or email email@example.com
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