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Your research will focus on applying Machine Learning and Artificial Intelligence to the analysis of sample material data sets and in the design of the experiments as part of a data driven science initiative to accelerate material optimisation workflows. Themes that will be explored include the use of Machine Learning and Artificial Neural Networks for Materials Science Characterisation data sets, Hybrid Prediction, Decision making, Hyperspectral mapping, Data Visualisation, Design of Experiments and Dimensionality reduction. Solving these types of challenges will open new vistas of scientific knowledge and positive impact in fields such as polymer science, flow chemistry and battery science. This will be done within national and international settings, and as part of a diverse multidisciplinary team.
Location: Clayton, Victoria
Salary: AU$86k - AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 67629
For full details about this role please review the Position Description
The successful applicant will be required to obtain and provide a National Police Check or equivalent.
Applicants must be Australian/New Zealand citizens, Australian permanent residents or Australian temporary residents currently residing in Australia and be able to commence in the role by December 2020/January 2021.
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
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
We are committed to the safety and wellbeing of all children and young people.
At CSIRO, Australia's national science agency, we solve the greatest challenges through innovative science and technology.
Join us and start creating tomorrow today!
Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.
16 August 2020, 11:00pm AEST