Imperial College London Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
University of Reading Featured PhD Programmes

Evaluating strategies to reduce net Carbon emissions from dairy production systems

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  • Full or part time
    Dr L O'Grady
    Prof M Green
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Applications are invited to join the Ruminant Population Health Group, School of Veterinary Medicine and Science (SVMS), University of Nottingham, to undertake an innovative three-year PhD training programme funded by the Agriculture and Horticulture Development Board (AHDB)

The SVMS undertakes research on many aspects of companion animals and livestock health and production. Research at the School is integrated into the University structure with established world class research in biomedical sciences within the other University Schools. Research undertaken at the School is relevant to both Veterinary Medicine and Science and Comparative and Human Medicine.

Project description:
To reduce the net contribution to carbon emissions whilst growing output, the dairy sector will need to increase efficiency of production and offset carbon emissions. One approach to offsetting emissions is to utilise agricultural land to sequester carbon. While sequestration offers a way to mitigate net carbon emissions, it is unclear if there are effective and economic options for farmers to improve the environmental impact of milk production.

The key objective of this research is to develop a whole-farm simulation model capable of evaluating the technical, economic and environmental impacts of differing animal performance, land use, nutrition and management strategies.

This project will use machine learning methods to adapt an existing whole-farm simulation model to represent UK dairy herds via incorporating predictive models of milk production and reproduction. The adapted model will be combined with a life cycle assessment model and the CenW ecosystem model to simulate carbon cycles, allowing the effects of simulated changes in animal production and land use on carbon emissions and sequestration over the short and long-term horizons.

This project provides the opportunity to launch your research career, develop sophisticated data analysis and programming skills, work with an array of international research experts and provide the successful applicant with an excellent opportunity to benefit the environment by engaging with AHDB and the broader UK dairy industry, promoting the real-world impacts of your research on policy and on-farm action.

Further information and Application:
Applicants should have a minimum of a 2.1 undergraduate degree or a minimum of a 2.2 degree and a Master’s degree in Agriculture, Animal, Computer or Veterinary Science, or similar subjects.

Candidates should apply online http://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx and include a CV. When completing the online application form, please select the School of Veterinary Medicine and Science, then PhD Veterinary Medicine and Science (36m) and, once submitted, send your application ID number to [Email Address Removed].
Any queries regarding the application process should be addressed to the Continuing Education Team, (email: [Email Address Removed]).

Informal enquiries may be addressed to the principal supervisor: [Email Address Removed]

Start Date:
1st October 2020

Closing date:
Applications must be received by 18:00 on 1st May 2020.

Funding Notes

This is a fully funded studentship for UK/EU nationals with a stipend of £15,285. International fees apply for non-UK/EU students.

Related Subjects

How good is research at University of Nottingham in Agriculture, Veterinary and Food Science?

FTE Category A staff submitted: 111.45

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

Click here to see the results for all UK universities


FindAPhD. Copyright 2005-2020
All rights reserved.