Research Scholarships in Computer Vision for Structural Assessment in Beef Cattle, Australia for PhD

  •  PhD
  •  01-Aug-2025
  •   United States
  • $$  AU$36,862 per annum (2025 rate), tuition fees, and overseas health cover for international students

The University of New England (UNE) is offering Research Scholarships in Computer Vision for Structural Assessment in Beef Cattle, Australia.

Applicants must hold a relevant honours bachelor’s degree or a master’s in animal science, computer science, biomechanics, or related fields. The candidate should be ready to engage in interdisciplinary research spanning computer vision, field data collection, data analytics, and collaboration with academic and industry partners.

The University of New England (UNE) is a leading public university located in Armidale, New South Wales, Australia. Renowned for its strong focus on research and innovation, UNE offers a supportive academic environment with world-class facilities and expert faculty. It is especially known for its excellence in agriculture, animal science, and rural studies, and maintains strong partnerships with industry and government. UNE provides both on-campus and flexible online learning options, attracting students from across Australia and around the world.

University of New England Information

University of New England Grants

Research Scholarships in Computer Vision for Structural Assessment in Beef Cattle, Australia for PhD Founded in 1831, University of New England is a non-profit private higher education institution located in the suburban setting of the medium-sized town of Biddeford (population range of 10,000-49,999 inhabitants), Maine. This institution has also branch campuses in the following location(s): Portland. Officially accredited and/or recognized by the Commission on Institutions of Higher Education of the New England Association of Schools and Colleges, University of New England (UNE) is a large (uniRank enrollment range: 10,000-14,999 students) coeducational higher education institution. University of New England (UNE) offers courses and programs leading to officially recognized higher education degrees such as bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 188 years old higher-education institution has a selective admission policy based on entrance examinations and students' past academic record and grades. The admission rate range is 80-90% making this US higher education organization a least selective institution. International students are welcome to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: All nationalities are eligible

  • Acceptable Course or Subjects: The scholarship will be awarded in the PhD program related to Computer Vision, Animal Science, or related fields offered by the University of New England

  • Admissible Criteria: To be eligible, applicants must:

    • Hold a relevant bachelor’s degree with honours or a master’s degree in a related field such as animal science, computer science, or biomechanics

    • Demonstrate interest in multidisciplinary research and willingness to engage in both academic and field-based components

    • Be eligible for admission to the PhD program at UNE

    • Show capacity for research and collaboration with academic and industry partners

Offered Benefits

  • For Domestic Candidates:

    • AU$36,862 per annum tax-free stipend (2025 rate)

    • Full tuition fee waiver

    • Scholarship duration: 3.5 years (full-time)

  • For International Candidates:

    • AU$36,862 per annum tax-free stipend (2025 rate)

    • Full tuition fee scholarship

    • Overseas health cover (candidate only)

    • Scholarship duration: 3.5 years (full-time)

Application Process

Interested candidates must email a single PDF file containing a one-page cover letter and CV to Dr Hassan Aliloo at by close of business Friday, 1 August 2025 AEST.
For further information, contact:

  • Dr Hassan Aliloo –

  • Professor Sam Clark –

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