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CSIRO Postdoctoral Fellowship - Lightweight Models for Edge AI

CSIRO Data61

CSIRO Postdoctoral Fellowship - Lightweight Models for Edge AI Use your research skills to focus on creating integrated sensing, AI/ML and telemetry technologies Translate research technologies to commercial outcomes Join Data61, the Digital Innovation Arm of Australia's Largest Science Agency, the CSIRO 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 generation of future leaders of the innovation system. The Distributed Sensing Systems (DSS) Group is one of the leading large-scale sensing groups in the world, based in Brisbane, Queensland, Australia.

We are part of the Cyber-Physical Research Program at CSIRO’s Data61 Business Unit. The group’s research focuses on creating integrated sensing, AI/ML, and telemetry technologies that will radically improve the cost and quality of data gathering on a large scale to enhance the understanding of our natural and built environments. We translate research technologies to commercial outcomes to help improve productivity across Industries and provide the ability to protect and manage Australia’s sociological and environmental sustainability.

Technologies developed by the DSS Group have been deployed at continental scale in Australia, and across 6 continents on a broad range of environmental, agricultural, and industrial applications. The position sits within the DSS group as part of a strategic and integrated research effort on machine learning/AI models for the aforementioned distributed/edge environments, through techniques that include but are not limited to: model design, model distillation, model quantization, distributed training, etc. In particular, the candidate will investigate new models and algorithms for multi-modal learning that harness the power of a variety of sensory signals including videos, accelerations, kinetic energy harvesting etc.

This will be done within national and international settings, and as part of a diverse multidisciplinary team. The role will also be exposed to and applied in a wide range of real-life applications that cover a set of different domains and are of national/global significance. Your duties will include: Obtaining an overview of the group’s research and engineering landscape and understanding the key underlying scientific challenges.

Developing graph-based learning algorithms that help solve these scientific challenges and potentially fit into the distributed/edge computational environment. Carrying out evaluation of the developed software to demonstrate its competitiveness and fitness for purpose, taking responsibility for functionality, performance and robustness. Publishing results in relevant international scientific venues (high-ranking journals and conferences).

Actively work with the group’s engineering capabilities to transfer researc.


Date09 April 2021

Location -

type -

Salary AU$86k - AU$94k plus up to 15.4% superannuation

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