Climate adaptation capacity of eucalypts in Australia's declining woodlands

Closing Date

30th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Eucalypts are keystone species in numerous Australian ecosystems, many of which are under threat. Ecological restoration programs must maximise the capacity of regenerating ecosystems to survive and thrive in a changing climate. One consideration is the adaptive potential of the genetic material being used.

The University of Tasmania has partnered with Greening Australia to establish a series of large, long-term genetic provenance trials in the degraded agricultural landscapes of the midlands of Tasmania. Using these field trials and wild populations of native Eucalyptus species, this research project will combine computer modelling with genomic, morphometric and climate data to assess adaptive capacity of eucalypts and test seed sourcing strategies that promote survival and optimise performance of ecological restoration plantings.

This interdisciplinary project offers an excellent opportunity to contribute to real world science using advanced DNA technologies, traditional quantitative genetic and functional trait analyses, and novel computer-modelling approaches.

Eligibility
  • Experience or interest in genomics and bioinformatics
  • Experience or interest in computer modelling and R-based data analysis
  • Excellent written and verbal scientific communication skills
  • Ability to work independently and as part of a research team
  • Current driving license and a willingness to work in remote field areas
  • Applicants from the variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • First class honours (or masters by research) in a relevant field (e.g., genetics, genomics, computer modelling)
  • At least one publication in a high quality peer-reviewed scientific journal
  • Experience with coding (preferably in R)
  • A sound understanding of genetics and genomics
  • High standard of English
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Dorothy Steane for further information.