The Machine Learning and Artificial Intelligence Future Science Platform will bring together a large number of world-leading experts to explore scientific questions using machine learning techniques. The focus of this position is to apply these methods to radio imaging from CSIRO’s Australian Square Kilometre Array Pathfinder (ASKAP) telescope. ASKAP will undertake an all-sky survey called the Evolutionary Map of the Universe (EMU), which will increase the number of known radio galaxies from millions to 10s of millions. The success of EMU relies on machine learning techniques to find patterns and objects in the radio images, and thereby automatically classify radio galaxies and their multiwavelength counterparts. You will work at the interface of astrophysics and machine learning to enable cutting edge astrophysics.
Essential selection criteria include:
CSIRO Astronomy and Space Science 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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