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Subject:

PhD Studentship, Loughborough University: Modelling Dynamic Responses to Dynamic Threats

From:

Duncan Robertson <[log in to unmask]>

Reply-To:

Duncan Robertson <[log in to unmask]>

Date:

Tue, 1 Aug 2017 15:52:10 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (57 lines)

http://www.jobs.ac.uk/job/BDC935/phd-studentship-modelling-dynamic-responses-to-dynamic-threats/

Application details:
Reference number: SBE-DRGM17
Start date: 01 October 2017 or 01 January 2018
Closing date: 08 August 2017

Supervisors:
Primary supervisor: Dr Duncan Robertson
Secondary supervisor: Dr Gilberto Montibeller

Intro:
Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Project Detail:
One of the most challenging issues for policy makers dealing with bio-security threats is their dynamic nature: diseases may spread quickly and deadly among vulnerable populations and pandemics may cause many casualties.

Finding the appropriate response to threats is a major challenge.  Whilst models exist for understanding of the dynamics of the threats themselves, responses can be largely ad-hoc or ‘firefighting’.  The aim of this research is to produce robust responses for dynamic threats.

The research will build up as follows, from low to high complexity: static responses to static threats; static responses to dynamic threats; dynamic responses to static threats; and dynamic responses to dynamic threats.

We will use a variety of methods to define the best response: cellular automata, network analysis, spatial modelling, agent-based modelling, and the generation of dynamic fitness landscapes.

This PhD studentship is most suitable for candidates with a background in a quantitative discipline such as management science, operations research, engineering, physics and other natural sciences.

Find out more: http://www.lboro.ac.uk/departments/sbe/research/phd-mphil/studentships/

Entry requirements:
UK Masters degree (with average programme mark of no less than 65%) or International  equivalent. English Language requirement of IELTS band 7.0 or above with not less than 7.0 in each component.

Funding information:
The studentship provides a tax free stipend of £14,553 per annum for the duration of the studentship plus tuition fees at the UK/EU rate.  International (non EU) students may apply however the total value of the studentship will be used towards the cost of the International tuition fee in the first instance.

Contact details:
Name: Professor Gilberto Montibeller
Email address: [log in to unmask]

Name: Dr Duncan Robertson
Email address: [log in to unmask]

How to apply:
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select Business School  

Please quote reference number: SBE-DRGM17

Please upload all the supporting documents listed below:

A curriculum vitae
A 500 word personal statement explaining your interest in, and aptitude for, the topic of this research project. In particular we would like to learn about what qualities do you feel you can bring to the project.
2-3 samples of writing such as MSc dissertation, journal or conference article, essays from your MSc degree
Copies of your transcripts/certificates
Two academic references.

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