http://www.ictcareer.com.au/
The Opportunity
Australia’s future minerals, energy and water resources will come from greater depths in the onshore regions and from deep offshore plays. Our ability to find, define and exploit mineral resources is limited by a deep and complex regolith that covers about 80% of the Australian land mass. Undiscovered conventional oil and gas lies in deeper or more subtle traps, or else is sourced from unconventional sources onshore that require new geophysical methods to quantify. The science of Deep Earth Imaging will help us more precisely image and understand the significance of subsurface rock properties, which in turn will unlock the resource potential of this vast and relatively under-explored continent.
As a part of this effort, we seek an outstanding early career researcher with a background in Spatial Statistics and Machine Learning with significant experience in exploratory data analysis and hypothesis generation for geological datasets to join a growing, world-leading team of 25 researchers. The successful candidate will have demonstrated experience in exploratory data analysis and visualization of large spatio-temporal datasets.
Your duties will include
Location: Kensington, WA
Salary: AU$83,687 - AU$94,679 plus up to 15.4% superannuation
Tenure: specified term of 12 months
Reference: 61371
To be successful you will need
Please note: To be eligible for this role you must have no more than 4 years of relevant postdoctoral experience.
For details about who to contact and for more information please view the Position Description
We’re working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish.
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
About CSIRO
At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.
Apply Online
To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.
Applications Close
Thursday May 16th, 2019