Classification: Academic Level A/B
Salary package: $85,010 - $131,227 per annum plus 17% superannuation
Term: 3x Full-time, Fixed Term (Up to December 2027)
Position description and selection criteria: The Position Three academic positions are available for the project "Analytics for the Australian Grains Industry" (AAGI) within the ANU Biological Data Science Institute (BDSI). The successful candidates will carry out the project on three (3) major research topics:
Statistical design and modelling Bioinformatics and molecular phenotyping Machine learning and image analytics. These positions will be part of a collaborative 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 three (3) 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.
For the Research Fellow (Academic Level B) position, 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.
Desirable Requirements: Experience in mixed models, experimental design, image analytics, machine learning, transcriptomics, or molecular phenotyping. Experience in the biological or agricultural sciences. 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.
We offer:
Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely, Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements, Designated parent rooms, quiet spaces and childcare facilities on campus, Career support, training, mentoring & upskilling opportunities. 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.
If you require adjustments to participate in any of the above assessments, please contact our HR team at E: Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates consent and it will not have any bearing on hiring decisions. The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: 19 Jan 2025
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