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Improving pig health through advanced predictive techniques

  • Full or part time
  • Application Deadline
    Sunday, March 03, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

SRUC and the University of Stirling are seeking a student to participate in a doctoral research project to explore the use of machine learning for improving the health and productivity of farm animals. This interdisciplinary project brings together the expertise of University of Stirling in computing and data science, and SRUC expertise in epidemiology and knowledge of the pig industry to enable a student to combine novel, modern quantitative analyses with biological expertise to achieve improved health outcomes. This project has the potential to offer considerable economic impact for Scottish animal agriculture.

The pig sector in Scotland has been at the forefront of the development of proactive, innovative health improvements. A considerable range of data sources have been collated via the Scottish Pig Health Network (SPHN) to drive further improvements in pig health. These include information related to endemic and zoonotic diseases, animal production, animal movements and farm demographics, antimicrobial usage and data regarding animal welfare. In collaboration with University of Stirling we propose to explore the application of modern data science and machine learning techniques to questions in animal population health via a jointly funded PhD studentship, utilising the SPHN data collection. This will bring added value to the SPHN project.

Applicants should have a bachelor’s or master’s degree in computing science, data science, mathematics, or a closely related field, or a track record of research as well as programming in one or more languages used for machine learning and data science (e.g., Python, R, C/C++).
The student will be located at Stirling and the SRUC Epidemiology Research Unit in Inverness and registered with the University of Stirling in the Division of Computing Science and Mathematics and starting on 1st October 2019.

Funding Notes

The stipend will be set at UKRI recommended levels for a 3.5 year-period and the studentship is funded to pay domestic tuition fee levels for UK/EU students. The student will receive an annual student stipend of £14,777 (£15,009 in 2019/20).This studentship will fund to pay the tuition fees at home fees rate only. International students must provide evidence of sufficient funds to cover the higher international student tuition fee level (approximately £16,740 per year would be required).

How good is research at SRUC - Scotland’s Rural College in Agriculture, Veterinary and Food Science?
(joint submission with University of Edinburgh)

FTE Category A staff submitted: 57.37

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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