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Postdoctoral Research Fellow/Research Fellow in Quantitative Genetics for Plant Network Biology

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Details

Date & time Jun 30
Ends on Jul 28, 11:00PM
Location
University of Queensland, Australia
Creator lhammes
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Description

Postdoctoral Research Fellow/Research Fellow in Quantitative Genetics for Plant Network Biology

Registration website


Job No:515009


Area:Qld Alliance for Agriculture and Food Innovation


Salary (FTE):Advertised at multiple classifications


Work type:Full Time - Fixed Term


Location: St Lucia



Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture


The Australian Research Council (ARC) Centre of Excellence (CoE) for Plant Success in Nature and Agriculture is a research Centre within the School of Biological Sciences, School of Mathematics and Physics, School of Law and the Queensland Alliance for Agriculture and Food Innovation (QAAFI).  The ARC CoE for Plant Success is administered at The University of Queensland and has Nodes at the University of Tasmania (UTAS), Monash University, Macquarie University (MQ) and Queensland University of Technology (QUT).  There are also a number of domestic and international partner institutions.

The ARC CoE for Plant Success will discover the adaptive strategies underpinning productivity and resilience in diverse plants and deepen knowledge of the genetic and physiological networks driving key traits. Using novel quantitative and computational approaches, the Centre will link gene networks with traits across biological levels, giving plant breeders an unparalleled predictive capacity. The Centre will accelerate technologies to transfer successful networks into crops and build legal frameworks to secure this knowledge. With a uniquely multidisciplinary team, the Centre will deliver new strategies to address the problems of food security and climate change, establishing Australia as a global leader in these areas.

The Australian Research Council funded the CoE for Plant Success in late 2019 and work is underway to establish the Centre, which has 17 chief investigators, 11 partner investigators and 27 associate investigators.

More information can be found here: https://www.plantsuccess.org/



About This Opportunity


The ARC Centre of Excellence for Plant Success in Nature and Agriculture has been funded for 7 years, ending December 2027. This position will work within the UQ Plant Success Laboratory with Professors Mark Cooper, Christine Beveridge, Graeme Hammer and David Jordan and their research groups.

The primary purpose of this position is to undertake novel quantitative genetic analyses of sequences of plant populations evolving under the influences of directional selection for shoot architecture traits. Arabidopsis and sorghum will be key plant species for the experimental components of these investigations. The position will be responsible for leading the development and application of quantitative genetic models to study the genomic to phenomic relationships within experimental populations that expose genetic variation for shoot architecture traits. The position will investigate modelling methods that leverage prior knowledge of hormone networks that is a focus of the Beveridge laboratory discovery research. The experimental results will be used to develop novel predictive models for plant architecture traits for applications to plant breeding and evolutionary studies.

Further information regarding the position and research program can be found within the position description below.

This position will be housed within the Queensland Alliance for Agriculture and Food Innovation, located at our picturesque St Lucia campus.



Our Ideal Candidate


To be successful for this opportunity, you will be able to demonstrate:

  • A PhD or equivalent (or be nearing completion) in quantitative genetics for plant breeding or plant adaptation analysis.
  • The ability to carry out research in the field of quantitative genetics including strong knowledge of modern trait mapping methods using genome sequence and high throughput phenomics data.  
  • Experience applying plant physiology, crop physiology and crop modelling methods for plant adaptation analysis would be considered an advantage.
  • Experience in R programming for statistical and quantitative genetics analyses.
  • Experience working in a High-Performance Computing environment.
  • Experience in programming in other relevant languages, including Matlab, Mathematica, Python, or C, would be considered an advantage.
  • Experience in studying the influence of sources of genetic non-additivity, including epistasis, pleiotropy and genotype by environment interactions, on the power of trait mapping methods, such as GWAS, and genomic prediction.

Visa sponsorship may be available for this appointment.

All final applicants for this position may be asked to consent to a criminal record check. Please note that people with criminal records are not automatically barred from applying for this position. Each application will be considered on its merits.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to [email protected].

What We Can Offer

This is a full-time or part-time (0.8FTE), fixed term position for up to 4 years at Academic level A or B. Contribution towards relocation will also be considered as required.

  • At Academic Level A, the full-time equivalent base salary will be in the range $70,729.75 - $94,637.91 plus super of up to 17%. The total FTE package will be in the range $82,753.80 - $110,726.35.
  • At Academic Level B, the base salary will be in the range $99,542.80 - $118,206.73, plus super of up to 17%. The total package will be in the range $116,464.14 - $138,301.

You will be able to take advantage of UQ Sport Facilities, recreation leave loading, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.



Position Description


 515009_Postdoctoral Research Fellow_Research Fellow in Quantitative Genetics for Plant Network Biology_PD.pdf



Questions?


To discuss this role please contact Professor Mark Cooper.

For application queries, please contact [email protected] stating the job number in the subject line.



Want to Apply?


To submit an application for this role, use the apply button. All applicants must supply the following documents:

  • Cover letter
  • Resume
  • Responses to the Selection Criteria

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQ Careers portal by the job closing deadline. Applications received via other channels including direct email will not be accepted.

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