CSIRO Postdoctoral Fellowship in ML/AI FSP: Finding the Unknown in Radio Astronomy Data Sets.

Location:Sydney
Job Type:Full Time

The Opportunity
  • Do you have a PhD in computing, astrophysics or physics?
  • Work with World-leading scientists & engineers to search for the ‘unknown’
  • Join CSIRO - Australia's premier science and technology 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.

Future Science Platforms (FSPs) are a major CSIRO initiative. FSPs are multi-year investments in frontier science that will reinvent and create new industries for Australia.

CSIRO Astronomy and Space Science (CASS) and FSP are joining together to appoint a Postdoctoral Fellow in Machine Learning and Artificial Intelligence (ML/AI) to work with world class scientist to help find the ‘unknown’ in Radio Astronomy Data Sets. As the successful candidate, you will develop machine learning algorithms that can be applied to large data structures and can identify unusual and unexpected sources in the ASKAP and Parkes data sets.

Your duties will include:
    • Carry out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
    • Recognise and exploit opportunities for innovation and the generation of new theoretical perspectives, and progress opportunities for the further development or creation of new lines of research.
    • Develop general methods for searching for "known unknowns” (pulsars, fast radio bursts, galaxies, etc.) and “unknown unknowns” (the unexpected) in data sets from the Parkes and ASKAP telescopes.
    • Implement these methods efficiently on high performance computing systems.
    • Carry out evaluation of the developed software to demonstrate its competitiveness and fitness for purpose. Taking responsibility for functionality, performance and robustness.

Location: Marsfield, Sydney NSW Australia
Salary: AU$83k – AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 66845

To be considered you will need:
  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as computing, astrophysics or physics.
    Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
  • A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
  • Solid knowledge of machine learning techniques and proven ability to develop and apply such techniques to complex data sets.
  • The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry our autonomous research.
  • Knowledge of Python, Julia, C, CC++ or equivalent.

For full details about this role please view the Position Description

Eligibility

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.

About CSIRO

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 and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Applications Close

Sunday 21 June 2020, 11:00 pm AEST