Fully Funded Scholarships (PhD) in Genomic Prediction in Horticultural Crops – Australia

Applications are invited from International and Australian students for Fully Funded Scholarships (PhD) in Genomic Prediction in Horticultural Crops at The Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland (UQ), Australia.


The National Tree Genomics Program is an $11.4M collaborative program among Australian and international universities and industries, and Horticulture Innovation Australia. The Phenotype Prediction Toolbox (led by Dr Craig Hardner) is one of three 5 year projects within the National Tree Genomics Program and develops resources to translate genomic technologies for improvement of Australia horticultural tree crops. The University of Queensland offers 01 preferential PhD scholarship for projects aligned to the Phenotype Prediction Toolbox. Interest from potential honours students is also invited.

Potential projects that may be supported with this scholarship include:

  1. genomic prediction models for priority traits (including vigour, phenology, precocity, fruit quality) in mango and macadamia,
  2. genome based methods to fast track rootstock breeding in avocado for resistance to phytophthora and control of scion vigour and precocity,
  3. validation and extension of genomic based prediction in citrus
  4. genomic prediction at a global scale to improve breeding and deployment,

PhD applicants are encouraged to discuss potential projects with Dr Hardner. The successful applicant will develop skills in big data management, genomics, genetics, statistics, bioinformatics, and translation to applied genetic improvement and will work with international partners in mainland US and Hawaii, European Union, and China.


Successful applicant will receive the following benefits:

  • An annual Research Training Program (RTP) living allowance stipend of AUD$27,596, tax-free for three years with two possible extensions of up to 6 months each in approved circumstances
  • One way, economy airfare from the successful applicant’s city to Brisbane, Australia


To be eligible for PhD scholarship, an applicant must:

  • First Class Honours Degree, Masters Research Degree in Quantitative Genetics and /or Statistics, Plant (preferably tree) Biology, and Bioinformatics or equivalent
  • A bachelor’s degree with at least honours class IIA or equivalent from approved universities, which includes a relevant research component; or
  • A research master’s degree; or
  • A coursework master’s degree and an overall GPA (grade point average) equivalent to 5.65 on the 7-point UQ scale, which includes a relevant research component; or
  • A postgraduate degree of at least one year full-time equivalent with an overall GPA (grade point average) equivalent to 5.0 on the 7-point UQ scale, together with demonstrated research experience equivalent to honours IIA will be considered for PhD entry on a case by case basis; or
  • A bachelor’s degree plus at least two years of documented relevant research experience, including research publications
  • At least one peer reviewed publication in reviewed publication
  • Proficiency in English language


To apply for Fully Funded Scholarships (PhD) in Genomic Prediction in Horticultural Crops, an applicant must submit following documents with application:

  • Cover letter.
  • Academic Curriculum Vitae, including details of two referees. Please click here for details on what is required in an academic CV
  • International applicants: Evidence for meeting UQ’s English language proficiency requirements
  • Academic transcript for all post-secondary study undertaken, complete or incomplete, including the institution grading scale

The successful PhD applicant will be invited to apply for enrolment and scholarship through the University of Queensland Graduate School.

For enquiries specific to this project, please email Dr Craig Hardner.

Scholarships link

Publish Date:
Institute Name: University of Queensland
Degree/Course: PhD
Deadline: August 30, 2019
Country: Australia
Course Start:
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