Publisher
source

The University of Queensland

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Postdoctoral Research Fellow in Crop Quantitative Genetics (Soybean, Predictive Breeding) The University of Queensland in Australia

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time fixed-term postdoctoral research position for up to 2 years. Base salary is AUD 85,373 to 113,660 per annum plus 17% superannuation and leave loading. UQ notes possible support for employer-sponsored work rights for relocating candidates, but upfront costs remain the applicant's responsibility.

Deadline

Oct 28, 2026

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Country

Australia

University

The University of Queensland

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Keywords

Computer Science
Environmental Science
Agriculture
Biology
Plant Breeding
Crop Science
Statistics
ML

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About this position

The University of Queensland is advertising a Postdoctoral Research Fellow in Crop Quantitative Genetics based at the St Lucia Campus, Brisbane, Australia, within the Queensland Alliance for Agriculture and Food Innovation (QAAFI). The role sits in the UQ-led ARC Training Centre in Predictive Breeding for Agricultural Futures and focuses on improving genomic prediction and quantitative genetics methods for soybean and other crop traits.

The research will involve analysis of large, multidimensional agricultural datasets, including trait phenotypes, environmental descriptors, and genomic information, to study genotype-by-environment-by-management interactions. Methods mentioned include mixed models, genomic prediction, crop simulation, hierarchical modelling, and machine learning. The position is research-focused and also includes mentoring students, publishing scholarly work, and contributing to collaborative relationships with industry and research partners such as BASF.

Eligibility highlights include completion or near completion of a PhD in Quantitative Genetics, Plant Breeding, Crop Genomics, or a closely related field, plus evidence of an emerging research profile, publication record, conference communication, and experience with collaborative research funding applications. The role is full-time, fixed-term for up to 2 years, with a salary range of AUD 85,373 to 113,660 per year plus 17% superannuation and leave loading.

Applications close 28 October 2026 at 11:00 pm AEST. Applicants must submit a resume, cover letter, and responses to the 'About You' section via the application portal; email applications will not be accepted. Contact Dr Melanie Wilkinson for role-specific questions or the Talent Acquisition team for application support.

Funding details

Full-time fixed-term postdoctoral research position for up to 2 years. Base salary is AUD 85,373 to 113,660 per annum plus 17% superannuation and leave loading. UQ notes possible support for employer-sponsored work rights for relocating candidates, but upfront costs remain the applicant's responsibility.

What's required

Completion or near completion of a PhD in Quantitative Genetics, Plant Breeding, Crop Genomics or a closely related field. Applicants should have an emerging research profile in quantitative genetics, predictive breeding, plant breeding or crop genomics; demonstrated capability in statistical analysis of large multidimensional agricultural, genomic or environmental datasets; experience with mixed models, genomic prediction, crop simulation, machine learning, hierarchical modelling or related quantitative methods; evidence of publishing in reputable refereed journals and presenting at conferences; evidence of contributing to external research funding applications; ability to work inclusively with researchers, students, industry partners and other research end users; and a developing record of service, engagement or collaborative academic activity.

How to apply

Apply through the SEEK application portal and upload a resume, cover letter, and responses to the 'About You' section. Do not apply by email. For questions about the role, contact Dr Melanie Wilkinson; for application inquiries, contact the Talent Acquisition team and include the job reference number R-68155.

More information can be found here

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