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Postdoctoral Research Fellow – Genomic Prediction

Dates
  • Opening Date: 23-Oct-2024
  • Closing Date: 20-Nov-2024

Location
  • St Lucia Campus, Gatton Campus

Salary
  • Base salary will be in the range $78,871.35 - $105,004.02 + 17% Superannuation (Academic Level A)

Responsibilities
  • Review and draw upon best practice research methodologies.
  • Undertake analyses of an extended number of breeding and research field trials, including detailed trait investigations conducted within specialised controlled-environment and field-based facilities.
  • Develop and test genomic prediction models with different environmental co-variables and using different methods for design of training data sets to enable genomic prediction.
  • Enhance and test APSIM-WGP for targeted wheat breeding objectives in Australian environments.
  • Work with colleagues and postgraduates in the development and application of GP and APSIM-WGP to account for trait-to-trait interactions influencing yield outcomes within environments and influencing GxE interactions and yield stability across environments.
  • Produce quality research outputs consistent with discipline norms by publishing or exhibiting in high quality outlets.
  • Publish scholarly papers in peer-reviewed journals.
  • Present research at national and international events.
  • Participate in applications for competitive research funding to support projects and activities.
  • Contribute to progressing towards transfer of knowledge, technology and practices to research end users through translation.
  • Supervise students, recruit and manage employees, provide performance feedback and training, resolve conflicts, and ensure correct remuneration and benefits.
  • Develop partnerships, demonstrate leadership through mentoring, engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values.

Requirements
  • PhD in the area of Quantitative Genetics/Genomic Prediction or a related field.
  • Knowledge and experience in the area of genetics, genomics, and genotype x environment interactions.
  • Ability to analyse datasets.
  • Knowledge and experience in statistical analyses, with an emphasis on mixed model methodology, including Bayesian analysis methodology.
  • Evidence of programming skills and proficient at working in R.
  • Evidence of a contribution to research by producing quality journal articles.
  • Time management skills.
  • Excellent written communication in English, with an ability to clearly convey the desired message to a wide audience.
  • High level of effective communication in English and interpersonal skills.
  • Ability to work collaboratively in cross-disciplinary geographically-distant teams within an academic and professional environment.

Benefits
  • Access to world-class facilities and equipment.
  • Grant writing support and greater research funding opportunities.
  • Up to 26 weeks of paid parental leave.
  • 17.5% annual leave loading.
  • Flexible working arrangements including hybrid on site/WFH options and flexible start/finish times.
  • Genuine career progression opportunities via the academic promotions process.

Notes
  • Visa sponsorship may be available for this appointment.
  • Relocating from interstate or overseas? Support may be available for the visa sponsorship process and/or a relocation support package.