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CSIRO’s Data61 is seeking to appoint two CSIRO Postdoctoral Fellows to work along-side their scientists in the Hybrid Prediction activity area.
As the successful candidate you will develop methods for automating and optimising spatio-temporal environmental processes that may involve faster, surrogate representations through the development of emulators and bring in data sources at different scales.
Your research will focus on the advancement and development of machine learning methods and tools (such as deep learning) to improve predictions, understand predictive uncertainty, optimise, calibrate and improve efficiency of process model computation through the development of computationally efficient surrogate models (emulators), leverage off different data and information sources and generalise methods to new applications.
Location: Dutton Park QLD Australia
Salary: AU$83k - AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 64407
Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
The successful applicant may be required to obtain and provide a National Police Check or equivalent.
For details about who to contact and for more information please view the Position Description
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
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
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.
To apply online, please provide a CV or resume and cover letter. Your cover letter must address the essential and desirable criteria outlining your suitability and motivation for the role.
Sunday 16 February 2020 at 11.59pm AEDT