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Company

ANU

Postdoctoral Fellow/Research Fellow

Canberra$89,313 - $137,870 per annum plus 17% superannuationPosted 21-04-2026

Job description

Postdoctoral Fellow/Research Fellow

Postdoctoral Fellow/Research Fellow

  • 562030

  • Canberra / ACT, ACT, Australia, 2601

  • Fixed Term

  • Closing at: May 19 2026 - 23:55 AEST

Classification: Academic Level A/B
Salary package: $89,313 - $137,870 per annum plus 17% superannuation
Term: Full-time, Fixed Term (Up to December 2027)

The Position

Up to two academic positions are available for the project “Analytics for the Australian Grains Industry” (AAGI) within the Research School of Finance, Actuarial Studies and Statistics at the ANU College of Business and Economics. The successful candidate will undertake a collaboratively designed research program in statistical design and modelling, while also providing analytical support to projects relevant to the Australian grains industry.

This position will be part of a partnership between ANU and the Strategic Partners (Curtin University, University of Queensland, and University of Adelaide) of the Analytics for the Australian Grains Industry (AAGI).

The Person

We are looking for academics with a PhD (or who will be awarded a PhD within six months of the appointment commencement) and experience in statistics, data science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must possess strong scientific programming skills, demonstrated experience working with real data, and a substantial commitment to reproducible and transparent workflows. They should also have evidence of experience relevant to the fields of data science, data analytics, statistics, machine learning, bioinformatics, or quantitative biology.

To be considered to be appointed at Academic Level B, candidates should provide evidence of their ability to articulate and pursue innovative research in the fields of data science, data analytics, statistics, machine learning, bioinformatics, or quantitative biology. They should also present a vision for the activities they will undertake at ANU.

The candidate should have working rights and be available to start by August 2026.

Desirable Requirements:

  • Experience in mixed models, experimental design, image analytics, machine learning, transcriptomics, or molecular phenotyping.
  • Experience in the biological or agricultural sciences.

**For more information about the position please contact Dr Emi Tanaka on E:**[email protected]

Working at ANU

This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence.

For information on a range of lifestyle, financial and non-financial rewards and programs, please .

The ANU College of Business and Economics (CBE) seeks to advance knowledge through high quality teaching and research. We contribute to associated professions, industry and government by conducting world-class, long-term strategic research, and through the provision of a range of specialised undergraduate and postgraduate degree programs.

As a part of Australia's leading university, CBE provides an excellent educational experience for our students. Our global alumni network reaches the world's leading companies, policy agencies and universities.

We strongly believe that the way in which we operate is defined by our and encourage you to apply if you are looking for a workplace that encourages respect, collegiality and excellence.

To Apply

To be considered for this position, please upload the following documents:

  • A current curriculum vitae (CV), and
  • No more than a two-page summary addressing your suitability against the selection criteria.

The committee will consider candidates that do not meet one or more aspects of the selection criteria.

Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

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