http://www.ictcareer.com.au/
The Position
In this role you will help discover the next generation of machine learning algorithms. The machine learning group is currently performing novel research on deep learning on large scale graphs using tensor and kernel methods. You will contribute and collaborate with the wider research community by publishing papers in top machine learning forums, as well as contribute to the technological direction of real world projects and find solutions to some of the most challenging technical problems.
Data61 is the largest data innovation group in Australia. We are unrivalled in our intellectual capital and our network with the global technology marketplace. The combined group will bring together approximately 600 research staff working in digital technologies to create benefit for Australia. Data61 will continue to develop Australia’s future leaders with its strong 300+ PhD student program in collaboration with our best universities across Australia.
Location: Canberra, ACT
Salary: AU $109K - AU $128K plus up to 15.4% superannuation
Tenure: Specified term of 2 years
Reference: 57008
To be successful you will need:
Before applying, we encourage you to read the full position description for this role. This document can be viewed at:
Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)
At CSIRO, we do the extraordinary every day. We innovate for tomorrow and help improve today - for our customers, all Australians and the world. We imagine. We collaborate. We innovate.
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. Find out more! CSIRO Balance
How to Apply: To apply, please provide a CV as well as a cover letter addressing the selection criteria in brief, and upload these as one document. If your application proceeds to the next stage you may be asked to provide additional information.
Applications Close: Applications will remain open until 10:59pm AEST on Monday 11th June 2018.