PhD Scholarship - Automated phenotyping and precision livestock technologies (External)
$30,000 per year
3 years
2
October 12, 2020
May 15, 2021
Two scholarships are available to investigate methods to improve cattle access to paddock-based automated monitoring tools and integrating data gained into genetic evaluation tools. The PhD projects are designed to advance the use of precision livestock technologies by improving the performance of walk-over-weigh and automated livestock monitoring technologies in extensive cattle production systems, and the application of the data gained to advance producer and industry performance.
To be eligible for the Scholarship, an applicant must:
- have prior study to a masters or equivalent level in a livestock and technology related field; and
- be currently onshore in Australia ready to commence the project as soon as possible
Applications are invited from candidates who have or can demonstrate:
- Prior study to a masters or equivalent level in a livestock and technology related field
- Skills in digital technologies including developing hardware and software
- Ability to work independently in the field
- Ability to meet deadlines
- Teamwork skills
- An interest in working with industry or external stakeholders.
Candidates with equivalent or complementary experience are also encouraged to apply.
Applications must include all necessary supporting documents. Incomplete applications will not be considered. Applicants will need to supply the following supporting documentation:
- Written submission
- Academic Transcripts
- Resume
Enquiries and applications should be submitted by email to Professor Dave Swain at d.swain@cqu.edu.au.
The application should include:
- A cover letter describing how your skills and research expertise address the selection criteria;
- Your current resume and academic transcripts together with a list of publications and projects;
- Names of two referees, together with email and phone contact information; and
- If applicable, examples of scientific writing (e.g. published scientific articles, research reports, thesis).
