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Biodiversity Modeller / Spatial Ecologist

Date: 24-Aug-2021

Location: Canberra, ACT, AU

Company: CSIRO

The Opportunity


  • ​​​​​​Join CSIRO - Australia's premier research organisation
  • Help solve big, complex problems that make a real difference
  • Diverse and inclusive culture. Flexible work arrangements!


We are seeking a spatial biodiversity modeller or quantitative ecologist to join the team in helping to deliver a range of biodiversity research projects. With collaborative guidance and support from other team members, this position will undertake a variety of research activities, applying different biodiversity assessment approaches, delivering to multiple research projects.

You will join the high-performing Living Landscapes Research Program in CSIRO Land and Water. The Living Landscapes Research Program develops tools and technologies to support government, industry and communities to realise a sustainable Australian environment where biodiversity flourishes, ecosystems function and adapt, and ecosystem services provide for the needs of future generations. The program contributes to the development of integrated science solutions to complex environmental problems by deploying cutting-edge biophysical expertise on whole-of-system approaches to monitoring, assessment, evaluation and reporting on land and ecosystem outcomes.

Your duties will include:

  • Contribute to planning and designing quantitative assessments that meet project objectives.

  • Proactively explore potential solutions to biodiversity modelling and assessment challenges as they emerge.

  • Contribute to and lead the preparation and associated documentation of various spatiotemporal data for application in biodiversity modelling and assessment.

  • Rapidly learn new concepts and analytical techniques.

  • Adapt and implement existing code-based spatial biodiversity assessments.

  • Develop new approaches and associated code to implement custom biodiversity modelling and assessment activities.


Location: Canberra, ACT

Salary: AU$100k - AU$108k plus up to 15.4% superannuation

Tenure: Specified term of 12 Months

Reference: 76834

To be considered you will need:

  • A doctorate in a relevant discipline area, such as spatial biodiversity modelling or quantitative spatial ecology.

  • Demonstrated experience in biodiversity modelling or quantitative spatial ecology.

  • Evidence of advanced statistical modelling or data analytics skills, and programming capabilities in one or more languages relevant to spatial modelling and analysis (e.g. Python, R).

  • The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.

  • Demonstrated high level written and oral communication skills.


For full details about this role please review the Position Description


To be eligible to work in CSIRO you must be an Australian Citizen, Permanent Resident or either hold, or be able to obtain, a valid working visa.

The successful applicant will be required to obtain and provide a National Police Check or equivalent. Additional integrity checks may be required for specific roles which require security clearance for working with children, Australian Government cybersecurity requirements or other identified security roles.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. 

Diversity and Inclusion

We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. 


At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. 

Join us and start creating tomorrow today!

How to Apply

Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Applications Close

19th September 2021, 11:00pm AEST/AEDT