CSIRO Postdoctoral Fellowship in Machine Learning
- Commonwealth Scientific & Industrial Research Organisation (CSIRO)
- Location: Hobart, Australia
- Job Number: 7112569 (Ref #: cj_89103)
- Posting Date: Oct 5, 2022
- Application Deadline: Open Until Filled
Job Description
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 engineering, applied mathematics, physics, computer science or statistic?
- Do you want to conduct innovative research with a leading research organisation?
- Join CSIRO – Australia’s leading scientific research organisation!
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.
CSIRO Oceans and Atmosphere have an exciting opportunity for a Postdoctoral Fellow to join the Geophysical Fluid team to conduct research on "Causal inference in high-dimensional multi-scale systems". The CERC Fellow will work closely with senior researchers from Data61 and Environment Business Unit to develop novel methodologies for feature selection, causal inference and prediction combining optimization methods with Bayesian machine learning in computationally efficient frameworks.
The fellow will research, design, develop and apply new machine learning (ML) algorithms for causal inference in complex multiscale systems. These algorithms will address challenges concerning uncertainty quantification and propagation, probabilistic inference in high-dimensional systems, and modelling dynamics and causal relationships. It is expected that the solutions developed by the fellow will be based on sound mathematical and practical frameworks such as deep neural networks, variational inference, structural causal models, neural differential equations, and/or state-space models.
Your duties will include:
- Research, design, develop and apply new machine learning (ML) algorithms for causal inference in complex multiscale systems. These algorithms will address challenges concerning uncertainty quantification and propagation, probabilistic inference in high-dimensional systems, and modelling dynamics and causal relationships.
- Incorporate novel approaches to scientific investigations by adapting and/or developing original concepts and ideas for new, existing, and further research.
- Produce high quality scientific and/or engineering artefacts (e.g., papers, patents, code, and demos) suitable for publication in leading national and international venues.
- Prototype reusable, publicly available code.
Location: Hobart, TAS or Sydney, NSW
Salary: AU$89k - AU$98k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 89103
To be considered you will need:
- A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as engineering, applied mathematics, physics, computer science or statistics. Please note: To be eligible for this role you must have no more than 3 years (or part-time equivalent) of postdoctoral research experience.
- Demonstrated experience and sound knowledge of artificial intelligence, machine learning and optimisation, and the ability to understand and develop mathematically founded machine-learning algorithms
- Strong written and oral communication skills including the ability to publish research results, prepare reports and present the results of scientific investigations at national and international conferences and stakeholder meetings.
- Experience solving problems using quantitative approaches on real-world data.
- High level computational and programming skills (in Python, R, or C++) to build AI/ML models and conduct analyses.
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.
To enter a CSIRO site, CSIRO will require you to show proof of vaccination against COVID-19 (or show a valid medical exemption from vaccination). If you are unable to meet this requirement, then you must return a negative result on a Rapid Antigen Test (within 48 hours prior to attending site) and wear a face mask whilst on the CSIRO site. These requirements apply if you are attending a CSIRO site as part of a recruitment process.
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.
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
7 November, 2022, 11:00pm AEDT
We’re working hard to build a safe and welcoming culture where people can bring their whole selves to work. Valuing and enabling difference empowers our people, unlocking their potential to innovate and shape the future for our customers, all Australians and the world. We do the extraordinary every day. We innovate for tomorrow and help improve today. We're the people that stay awake solving the world’s big questions. This is true of our science and of our people. Our mission is to create benefit for Australia through impactful science and innovation but we know that that's not possible without an inclusive and diverse culture. We're working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish.