CSIRO Postdoctoral Fellowship in Distributed Sensing Systems - [Archived Advertisement]

Acknowledgement of Country

CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

The Opportunity

• Do you have a PhD in computer science, engineering, mathematics or a similar discipline?
• Like the sound of developing and deploying AI algorithms and workflows for underwater ocean sensing?
• Join our world-leading Distributed Sensing Systems group in this 2-year postdoctoral role

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.

We are seeking a talented and motivated CERC Fellow to join our Distributed Sensing Systems (DSS) group, which is a world-leading research group specialised on large-scale, decentralized, and intelligent sensing technologies. 

The research focus of this role is on the development and deployment of AI algorithms and workflows for underwater ocean sensing. The CERC Fellow with work with CSIRO mobile surveillance platforms for oceans that collect image/video data streams, location and motion information, and environmental parameters from under water. The goal of the project will be to enhance the efficiency and quality of data/knowledge acquisition on large scales through employing artificial intelligence (AI) algorithms that run on sensing devices, at edge, or in the cloud. We work directly with external users of the technology and translate scientific research to improvements in productivity and sustainability of various industries. Technologies developed by the DSS group have been deployed at continental scales in Australia and around the world in a broad range of environmental, agricultural, and industrial applications.
  
The main research area of the CERC Fellow will be machine learning (ML)/AI for on-device processing/edge computing. They will develop new concepts, algorithms, and software tools to speed up the development of on-device analytics for ocean survey sensor platforms. The main objectives include analytics for multi-modal data streams, such as video, motion, and location:
-    Automation of the data annotation using ML models, weakly/semi-supervised training of ML algorithms, and active learning based on human input 
-    Incorporation of position and location time-series data to improve vision-based ML models, for example, through reconstruction of metric dimensions of objects.
-    The CERC Fellow will be exposed to a range of datasets from real-life ocean surveys collected for different scientific and industrial purposes.

Your duties will include:

• Obtaining an overview of the group’s research and engineering landscape and understanding the key underlying scientific challenges.
• Developing ML/AI solutions that help tackle these scientific challenges and are suitable for on-device processing or edge computing.
• Implementing and evaluating the developed algorithms and methods efficiently using Python libraries such as scikit-learn, TensorFlow, and PyTorch.
• Liaising with the engineers to execute the validated algorithms and tools on the appropriate embedded systems or edge computing platforms.

Location: Brisbane, Queensland
Salary: AU$92k - AU$101k plus up to 15.4% superannuation
Tenure: Specified term of 2 years
Reference: 91450

To be considered you will need:

• A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as computer science, engineering, mathematics, or similar discipline. Please note: To be eligible for this role you must have at least one year of relevant research experience, but no more than four years (or full-time equivalent) of postdoctoral research experience.
• Solid understanding of machine learning principles and ability to conceive and develop theoretically-sound machine learning algorithms and evaluate them using Python libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong experience in performing visual recognition in multimodal sensory data including 2D images and 3D pointclouds (or depth images).
• Demonstrated experience in developing machine learning models for real-world applications.
• Record of publication in reputable peer-reviewed journals/conferences or authorship of scientific reports, grant applications, or patents.

For full details about this role please view the Position Description

Eligibility

Applications for this position are open to Australian/New Zealand Citizens, Australian Permanent Residents or you must either hold, or be able to obtain, a valid working visa for the duration of the specified term. Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. 

Diversity and Inclusion

We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. 

About CSIRO

At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. 

CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.

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

02 April 2023, 11:00pm AEDT