Postdoctoral Fellow: Crop Genomics & Predictive Breeding

The University of Queensland; City of Brisbane; On-site; AUD 85,000 - 114,000; Full time

Job summary

The University of Queensland invites applications for a Postdoctoral Research Fellow in Crop Quantitative Genetics at the St Lucia Campus. This research-focused role will advance genomic prediction and quantitative genetics methods for soybean traits within the ARC Training Centre framework.

You will work with BASF and partners, publish in journals, mentor students, and contribute to industry collaborations, aiming to push predictive breeding methodologies forward.

Qualifications

• PhD in relevant field or near completion.
• Emerging research profile in quantitative genetics or predictive breeding.
• Capability in statistical analysis of large multidimensional agricultural, genomic or environmental data.
• Experience with mixed models, genomic prediction, crop simulation, machine learning or related quantitative methodologies.
• Evidence of publishing in refereed journals and presenting at conferences.
• Evidence of contributing to external research funding or collaborative research.
• Ability to work inclusively with researchers, students, industry partners and end users.

Responsibilities

• Research: conduct univariate and multivariate analyses of large crop datasets to investigate Genotype-by-Environment-by-Management interactions.
• Develop and apply mixed-model statistical methods, including genomic prediction and machine learning, to improve traits of interest.
• Mentor students, publish scholarly work, and build collaborations with industry and partners.
• Engage in service and activities across QAAFI and ARC Training Centre.

Skills

Quantitative genetics

Predictive breeding

Plant breeding

Genomic prediction

Machine learning

Data analysis

Conference presentations

Education

PhD in Quantitative Genetics / Plant Breeding / Crop Genomics

Job description

The University of Queensland invites applications for a Postdoctoral Research Fellow in Crop Quantitative Genetics at the St Lucia Campus. This research-focused role will advance genomic prediction and quantitative genetics methods for soybean traits within the ARC Training Centre framework.

You will work with BASF and partners, publish in journals, mentor students, and contribute to industry collaborations, aiming to push predictive breeding methodologies forward.