International Research Scholarship in Analysis and Prediction of Tree Nut Yield using Remote Sensing, Weather and Orchard Information

International Research Scholarship in Analysis and Prediction of Tree Nut Yield using Remote Sensing, Weather and Orchard Information

Australia 31 Oct 2024
University of New England, Australia Grants

University of New England, Australia Grants

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Nonprofit organization
Host Country
31 Oct 2024
Opportunity funding
Partial funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

Award or Grant Description $$  $40,000 per annum stipend (tax-free) provided by an industry partner, additional research funds, and tuition fees covered

The University of New England is delighted to announce a prestigious scholarship opportunity for individuals passionate about agricultural research and the application of cutting-edge technology in predicting tree nut yield. This scholarship aims to support outstanding students who aspire to delve into the realms of remote sensing, weather analysis, and orchard management to enhance our understanding of nut tree productivity.

Designed to foster innovation and excellence in agricultural science, the scholarship seeks candidates with a keen interest in leveraging data science, machine learning, and remote sensing techniques to predict and analyze tree nut yield. The program aims to equip scholars with the skills and knowledge necessary to address the complexities of modern agriculture, particularly in the context of nut crop production.The University of New England (UNE) is a renowned institution located in Armidale, New South Wales, Australia. Established in 1938, UNE has a proud history of providing high-quality education and research opportunities to students from diverse backgrounds. With a strong focus on innovation and excellence, UNE offers a wide range of undergraduate, postgraduate, and research programs across various disciplines, including agriculture, health sciences, business, and the arts.

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Eligibility Criteria

  • Eligible Countries: Open to all nationalities
  • Acceptable Course or Subjects: Any subject offered by the University of New England
  • Admissible Criteria: Applicants must meet the following criteria:
  • Have experience with agronomy, data science, machine learning, and remote sensing
  • Familiarity with platforms such as Google Earth Engine, programming in Python, and use of packages such as Scikit-Learn and TensorFlow is advantageous
  • Practical experience in agricultural settings is desirable, including fieldwork experience.

Offered Benefits

This scholarship is open to both domestic and International applicants. The successful candidate will be awarded a $40,000 pa stipend (tax free) provided by an industry partner. Additional research funds will be available and tuition fees will be covered.  If an international candidate is successful they will also receive overseas health cover and tuition fees (for the student only, funded by the University to New England for the duration of 3 years and 6 months).

Application Process

To apply for this scholarship, applicants must complete and submit a candidature and scholarship application. All required supporting documentation as mentioned in the application form including the following:

  • Cover letter detailing the reasons for your interest in the project and relevant experience
  • CV detailing relevant experience
  • For more information on submitting a candidature application, please see the University of New England’s webpage on how to apply/enrol for candidature.

Enquiries: James Brinkhoff –

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