|Job Type:||Full Time|
- Use your Skills and Make an Impact on CSIROs Digital Outcomes!
- Immerse Yourself in an Inclusive Culture
- Join CSIRO’s 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’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.
With over 60 people spread across QLD, NSW, VIC, TAS, and ACT; our team is comprised of Research Scientists, Post-Doctoral Fellows, Engineers, PhD & Masters Students, and Industrial Trainees. 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.
- Obtaining an overview of the group’s research and engineering landscape and understanding the key underlying scientific challenges.
- Developing multimodal machine learning/AI models that help solve these scientific challenges and potentially fit into the distributed/edge computational environment.
- Implementing these models and methods efficiently using programming frameworks such as TensorFlow/TensorFlow Lite and PyTorch in a lab 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.
- Interpreting and presenting research findings in artificial intelligence and machine learning to research scientists and practitioners from a wide range of other scientific areas.
- Identifying opportunities that could potentially generate intellectual properties through research.
- 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: Pullenvale, QLD
Salary: AU$83k - AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
- 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, artificial intelligence and statistics, and the ability to understand and develop mathematically-founded machine learning algorithms and their development in toolkits such as TensorFlow/TensorFlow Lite or PyTorch.
- Demonstrated experience in developing and evaluating multimodal learning models.
- A sound history of publication in high-rank peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
- 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.
- Proficiency of Python, C++ or equivalent.
- High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.
- A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations.
For full details about this role please view the Position Description
The successful applicant will be required to obtain and provide a National Police Check or equivalent.
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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.
9th December 2020, 11:00pm AEDT