APS Data Fellow program now open
The Digital Transformation Agency has opened applications for its data fellowship program, aimed at providing APS staff with an opportunity to learn advanced data skills.
Up to 10 high-performing data specialists within the public service will be given a three-month full-time placement at the CSIRO's Data61 or a Data61 partner organisation, with the goal of developing a solution for a data-related problem or opportunity.
The project may cover activities including data analysis, forecasting or API development.
APS staff will have until 23 March to submit an application. Applicants must be ready to start the project within three months of this date, and have the approval from an agency's data champion or senior executive.
Post data fellows include the Treasury's Alex Kelly, who developed a new way of measuring household spending in real time using social media resources; the ABS's Dominic Love, who used machine learning to streamline data publication for industries; and ASIC's Tariq Scherer, who developed techniques for detecting harmful trading practices using ASIC data.
Other past projects covered expenditure models for policy design, expanding a real-time file identification system for digital forensics, a container terminal model for data analysis, a microsimulation model to assess hospitalisation risk in chronic disease patients and a method of estimating greenhouse gas emissions by monitoring soil carbon in Australia's crop and grasslands.
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