Senior Research Scientist - Computational Plant Breeding

The Department of Jobs, Precincts and Regions (DJPR) was established on 1 January 2019 to ensure Victoria's strong economic performance by growing industries and regions. Here at DJPR, we're making sure Victoria's economy benefits all Victorians by creating more jobs for more people, building thriving places and regions and nurturing inclusive communities.

Our work supports six ministers, spans 12 portfolios and operates across metropolitan, regional and international offices. We also oversee various public entities, including public corporations, regulatory authorities and specialist boards.

The Department strongly encourages applications from Aboriginal and Torres Strait Islander people.

The Department offers reasonable adjustments for applicants with disabilities on request.
Job Details
Careers Logo
Department: Department of Jobs, Precincts and Regions
Work Type: Fixed term - full time
Job Function: Science
Classification: SciC
Work Location: Melbourne - Northern Metro
Reference: VG/026416
Closing Date: 06-Oct-2019
Salary Range: $98,396 - $119,052
Job Duration: 3 Years
Attachments: PD_PN_026416_RS-Computational Plant Breeding_ScC-Aug19.docx (Word, 119KB)


Contact: Dr Hans Daetwyler
03 9032 7037

Position Details

SENIOR RESEARCH SCIENTIST – Computational Plant Breeding

  • $98,396 - $119,052 plus Superannuation
  • Fixed Term – 3 years      
  • Full Time (flexibility may be available)
  • Work location - Bundoora

The position of Senior Research Scientist – Computational Plant Breeding forms a part of the Agriculture Victoria Research branch of the Agriculture Victoria group.

We are seeking a person with experience in statistical genomics and/or quantitative genetics for an exciting new role underpinning our strategy to accelerate the rate of genetic gain in plant breeding.

The Senior Research Scientist - Computational Plant Breeding will develop tools enabling faster genetic gain for important crop species through research on genomic selection, with a focus on developing genomic prediction approaches that link with crop biophysical models underpinning breeding programs within Agriculture Victoria and commercial partners. The role is required to deliver on specific research milestones for large, collaborative, industry co-funded projects. 

The incumbent will be required to provide a substantial individual contribution to the science of the Computational Biology group, through cutting-edge research in the areas of quantitative genetics applied to plants (i.e. genomic prediction). Novel phenomic assays (e.g. field, glasshouse, and seed imaging) allow for more efficient and detailed measurements of existing traits and the definition of novel intermediate traits crucial to plant productivity, efficiency, and health.  In this position you will develop methodology to predict new crop traits from novel phenomic assays and connect them to genomic prediction and crop modelling approaches with the aim to better predict into disparate environments primarily for wheat.

You will also be responsible for coordinating and delivering research within large plant breeding research projects. We are looking for an experienced researcher with excellent organisational skills, preferably with a background in the use of genomic data for breeding outcomes in general and specifically for genomic selection, as well as a foundation in computer programming. Publications in key international journals are expected and encouraged, as is supervision of staff and PhD students.

You will also have a strong commitment to the values of collaboration, accountability, delivery, and have a passion for science. The position offers a unique opportunity to fast track the latest research in plant genetics and genomics into industry application with large commercial partners.

For a confidential discussion, please call Dr Hans Daetwyler, Research Leader – Computational Biology on 03 9032 7037.

Successful candidates will be required to undergo a National Police Records and Qualification Checks prior to commencing employment with the Department.

For further information on the position, please see the attached position description.  To apply, please click the ‘Apply Now' button below.

Applications close at midnight on 6 October 2019 and must address the Key Selection Criteria outlined in the Position Description.


From here...