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CSIRO Postdoctoral Fellowship - Lightweight Models for Edge AI

Date: 29-Mar-2021

Location: Brisbane, QLD, AU

Company: CSIRO

The Opportunity

 

  • 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 research outcomes into engineering results.

 

Location:  Pullenvale, Queensland
Salary: AU$86k - AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference:  70855

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, 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.
  • Solid knowledge of machine learning (preferably in lightweight deep learning models) and statistics, and the ability to implement (lightweight) models with machine learning toolkits such as TensorFlow/TensorFlow Lite, on edge AI devices.
  • Demonstrated experience in models simplification using techniques such as model/knowledge distillation, binarization etc.
  • A sound history of publication in high-rank peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents, in machine learning or systems areas.
  • 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.

 

For full details about this role please view the Position Description

Eligibility

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.

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

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.

About CSIRO

At CSIRO, Australia's national science agency, we solve the greatest challenges through innovative science and technology.

 

Join us and start creating tomorrow today!

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.

Applications Close

2 May 2021, 11:00pm AEST