CSIRO’s Machine Learning and Artificial Intelligence Future Science Platform is bringing together World-leading experts to explore scientific questions using machine learning techniques. The focus of this position is apply such techniques to identify rare and currently unknown classes of astrophysical objects in Parkes and ASKAP data sets. The EMU survey on ASKAP will be the largest radio survey yet attempted and increase the number of known radio sources from millions to tens of millions. The new receiver systems on Parkes are undertaking new deep and wideband surveys for pulsars and fast radio bursts, which also lead to copious data volumes. As well as hunting for astrophysical sources in these data sets, the postdoctoral fellow will have the opportunity to work on projects ranging across multiple science research areas.
Essential selection criteria include:
CSIRO Astronomy and Space Science (CASS) is committed to building a safe and welcoming workplace culture, and to implementing initiatives to improve diversity and equity within our workplace. CSIRO offers a range of flexible working arrangements to support these initiatives. A discretionary research/travel allowance will be available, together with assistance with relocation and other benefits, including health insurance. We work flexibly at CSIRO, offering a range of options for how, when and where you work (through our 'Balance' programme). Talk to us about how this role could be flexible for you. We offer a vibrant and collaborative work environment. CSIRO actively supports a safe, healthy and enriching working environment for all staff.
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