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Automated monitoring & analysis of animal health & welfare

About This PhD Project

Project Description

• Funding details: Full time Home/EU fees and a stipend of £15,009 p.a.
• Application deadline: Tuesday 7th May 2019
• Start date: October 2019
• Duration: 3 years full-time
• Campus: Colchester
• Departments: Department of Mathematical Sciences (lead) and School of Life Sciences

Brief overview:

This collaborative project brings together experts in mathematical modelling, data analysis and animal behaviour and welfare. Our aim is to use new behaviour tracking sensors to develop practical systems for automated monitoring of animal behaviour and health in farms and zoos, improving welfare and reducing costs. This is a highly topical subject as there is a strong public demand for action on animal welfare issues but new approaches are needed to monitor individual animals efficiently and accurately.

The student will collect and analyse behavioural data (movement, space-use and activity) from a range of animals including farm species such as cows, sheep and horses as well as zoo, aquarium or wild species. Analysis of how observed behaviours are linked to health, welfare status and environmental conditions will allow us to develop practical indicators for use in automated monitoring.

Detailed funding information:
The award consists of a full Home/EU fee waiver or equivalent fee discount for overseas students (see for further fee details), a doctoral stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£15,009 in 2019-20), plus £2,500 training bursary via Proficio funding, which may be used to cover the cost of advanced skills training including conference attendance and travel.

Supervisors: Professor Edward Codling (Lead, DMS), Dr Tom Cameron (SLS), Dr Jon Amory (Writtle University College)

Entry requirements

At a minimum, the successful applicant will have a good honours degree (1st class or high 2:1, or equivalent) in mathematics, statistics, computer science or related numerical or computational subjects. An MSc in a relevant subject is desirable (but not essential). The ideal candidate will have strong mathematical, data analysis and programming skills. Experience of animal-handling and/or collection and analysis of animal behaviour data is not essential (training will be given if required).

Applicants will be asked to provide:
Your CV, covering letter, personal statement, and transcripts of UG and Master’s Degrees in your application.

For more information and details on how to apply please follow this link

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