- Work with world-leading machine learning/artificial intelligence scientists
- Apply your knowledge to exciting challenges in spatiotemporal learning
- Join the CSIRO MLAI Future Science Platform (MLAI FSP)
CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next geneation of future leaders of the innovation system.
In this position you will undertake research in the CSIRO Machine Learning and Artificial Intelligence Future Science Platform (MLAI FSP). As the successful candidate you will develop fundamental and transformative machine learning/artificial intelligence algorithms and workflows to analyse satellite data to provide intelligence on environmental systems. You will focus on the advancement and development of artificial intelligence methods and tools to improve generalisation and transferability and algorithms that address large complex, multilayered datasets. You will also work on addressing challenges facing data uncertainty, sparsity and unlabelled data.
Your duties will include:
- Developing generalised methods for automating the analysis of spatiotemporal data, including remote sensing data, to address problems of complex data with many spectral bands, spatiotemporal dependencies, large data series, lack of labelled data, maintaining consistency beyond the training space, data sparsity, uncertainty and data integrations given the diversity of data types and scales.
- Implementing these methods efficiently using programming tools such as PyTorch, mxnet and TensorFlow on high performance computing systems.
- Carrying out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
- Recognising and exploiting opportunities for innovation and the generation of new theoretical perspectives, and progressing opportunities for the further development or creation of new lines of research.
Location: Brisbane or Canberra preferred, other locations considered
Salary: AU$86k - AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
To be considered you will need:
- A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as machine learning, artificial intelligence, computer vision, computer science, statistics, data analytics, environmental modelling, applied mathematics or applied physics.
Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
- A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
- Solid knowledge of machine learning, artificial intelligence and statistics, and the ability to understand and develop mathematically-founded machine learning algorithms and their development in toolkits such as TensorFlow, mxnet or PyTorch.
- The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
- Knowledge of Python, C++ or equivalent.
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.
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
Diversity and Inclusion
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How to Apply
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.
9 August, 2020, 11:00pm AEST