CSIRO Postdoctoral Fellowship in the application of Deep Learning methods to radio astronomy - CSIRO - EngineeringCareer

First listed on: 03 February 2021

CSIRO Postdoctoral Fellowship in the application of Deep Learning methods to radio astronomy

The Opportunity

  • Are you ready for the next step in your career?
  • Work alongside radio astronomers to develop new methods in spectral line science
  • Join CSIRO and support Australia's premier scientific 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.

ASKAP is a correlated array of 36 12-m dishes and it maps the sky via synthesis imaging – an indirect imaging technique similar to that used in medical imaging (eg. CT scans or MRIs).  The ASKAP data rate is ~2Gb per second, yielding ~75 Pb per year.  Hence, smarter automation of data verification processes plus post-processing processes are two work areas that Deep Learning methods can help contribute towards.

The successful candidate will work in close collaborations with Dr Ivy Wong, the ASKAP spectral line commissioning scientist(s) and other WALLABY postdoc(s) to provide novel solutions to the scientific and technical challenges faced by the next-generation radio sky surveys.  

Your duties will include:

  • In collaboration with radio astronomers, develop and implement machine learning / deep learning solutions to the big data challenges faced by the next-generation all-sky survey for atomic Hydrogen.
  • Develop familiarity with the latest machine/deep learning techniques and effective translation of such knowledge to radio astronomy problems using CSIRO HPC facilities.

Location: Kensington, WA
Salary: AU$86k - AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 71514

To be considered you will need:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in Computer Science, Software Engineering (or related discipline).

Please note: To be eligible for this role you must have no more than 3 years (or part-time equivalent) of postdoctoral research experience.

  • Demonstrated expertise in machine/deep learning applications to big datasets.
  • Demonstrated ability to work effectively in large distributed scientific collaborations.
  • High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.
  • A sound history of publication in peer-reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
  • A record of science innovation and creativity, including the ability and willingness to incorpo-rate novel ideas and approaches into scientific investigations.

For full details about this role please view the Position Description


The successful applicant will be required to obtain and provide a National Police Check or equivalent.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance

Diversity and Inclusion

We are working hard to recruit diverse people and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. Diversity and Inclusion Strategy

We are committed to the safety and wellbeing of all children and young people.


At CSIRO, Australia's national science agency, we solve the greatest challenges through innovative science and technology.

Join us and start creating tomorrow today!

How to Apply

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

Applications Close

Tuesday 30th March 2021, 11:00pm AEST

Please Note that the closing date for this role has been amended.