|Location:||Brisbane, Canberra, Sydney|
|Job Type:||Full Time|
- Do you have experience in Machine Learning and Artificial Intelligence?
- Work with world class researchers to solve the world’s biggest challenges
- Join CSIRO’s Data61, the largest data innovation group in Australia
CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years relevant postdoctoral work experience.
The Machine Learning and Artificial Intelligence Future Science Platform (MLAI FSP) will build an exciting new research portfolio to leverage CSIRO’s deep domain expertise and experience. It will explore questions such as: How do we use machine learning to augment a scientist’s ability to generate and learn from scientific data? What is the best way to include domain constraints (such as physical laws) and design constraints (such as privacy and fairness) into machine learning models? Where can we exploit genomic information in plant and animal breeding? Why is deep learning so effective in extracting meaningful features? Solving these types of challenges will open new vistas of scientific knowledge and positive impact.
- Develop general methods for automating the analysis of domain specific imagery and video to, eg, address problems of lack of labelled data, integrating domain constraints, and enable discovery of anomalies in large scale datasets.
- Implement these methods efficiently using programing tools such as PyTorch and TensorFlow.
- Carrying out evaluation of the developed software to demonstrate its competitiveness and fitness for purpose. Taking responsibility for functionality, performance and robustness.
- Carrying out high impact research of strategic importance to CSIRO, with the aim of achieving innovative and wide-reaching scientific outcomes and ideas for further research.
Location: Canberra, ACT | Eveleigh, Sydney | 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 Platform-relevant discipline area, such as computer vision, machine learning, artificial intelligence or computer science.
- 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 history of professional and respectful behaviours and attitudes in a collaborative environment.
- Solid knowledge of computer vision and machine learning, and the ability to understand and develop mathematically-founded algorithms and their development in toolkits such as TensorFlow or PyTorch.
- High level computational and programming skills (in Python or C++) to build computer vision/machine learning models and conduct analyses.
- High level written and oral communication skills with the ability to effectively represent the research team internally and externally, including publishing in peer reviewed journals and/or authorship of scientific papers, reports, and presenting at national and/or international conferences.
- A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations, preferably across diverse and inclusive teams.
For more information about this role please view the Position Description.
The successful applicant will be required to obtain and provide a National Police Check or equivalent.
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
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.
We are committed to the safety and wellbeing of all children and young people.
At CSIRO, Australia's national science agency, we solve the greatest challenges through innovative science and technology.
Join us and start creating tomorrow today!
Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirments of this role.
Sunday, 8th March 2020 at 11.59pm AEST