Acknowledgement of Country

CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

The Opportunity

• Do you have a PhD in Astrophysics, Computer Science, Mathematics, or Software Engineering?
• Contribute to improving the reliability of detecting gas-rich dark galaxies
• Join CSIRO – Australia’s leading scientific research organisation!

CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.

The successful candidate will work on the application of Deep Learning or Machine Learning methods to find dark galaxies in very noisy massive spectral line data cubes.

Dark galaxies are dark matter dominated massive galaxies with very few stars.   The focus of this project is aimed at improving upon the reliability of detecting gas-rich dark galaxies which typically have low signal-to-noise ratios (SNR) from the WALLABY survey using the Australian SKA Pathfinder (ASKAP). 

Your duties will include:

• In collaboration with cross-institutional astronomers, developing and implementing machine learning / deep learning solutions to the low signal-to-noise big data faced by the next-generation all-sky survey for atomic Hydrogen.
• Effectively translating machine/deep learning techniques to synthesis radio astronomy problems using CSIRO HPC facilities.
• Publishing results and methods in relevant international journals (and conferences) and release solutions onto public repositories such as GitHub.
• Collaborating with members of a diverse project team and external partners to ensure research leads to lasting application impact.

Location: Perth, WA

Salary: AU$89k - AU$98k plus up to 15.4% superannuation

Tenure: Specified term of 3 years

Reference: 90751

To be considered you will need:

• A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Astrophysics/Physics, Computer Science, Mathematics, Software Engineering or similar. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of postdoctoral research experience.
• Demonstrated expertise in the application of machine/deep learning methods
• Demonstrated understanding of interferometric spectral line observations (or hyperspectral data from indirect imaging).
• Demonstrated ability to work effectively in large distributed scientific collaborations. 

For full details about this role please view the Position Description

Eligibility

Applications for this position are open to Australian/New Zealand Citizens, Australian Permanent Residents or Australian temporary residents currently residing in Australia who are able to commence in the role by 30 June 2023.

Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.

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. 

About CSIRO

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. 

CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.

Join us and start creating tomorrow today!

How to Apply

Please apply on-line and provide a cover letter and CV that explicitly addresses each of the selection criteria and best demonstrates your motivation and ability to meet the requirements of this role.

Applications Close

31 January 2023, 11:00pm AEDT