CSIRO Postdoctoral Fellowship in MLAI FSP: Spatiotemporal - [Archived Advertisement]
CSIRO Postdoctoral Fellowship in MLAI FSP: Spatiotemporal
- Keen to work with world-leading experts exploring scientific questions using machine learning techniques?
- Work on projects ranging across multiple science research areas
- Join our MLAI researchers in this exciting postdoctoral fellowship
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 CSIRO Machine Learning and Artificial Intelligence Future Science Platform (MLAI FSP) brings together world-leading experts to explore scientific questions using machine learning techniques. As a member of the MLAI FSP, you will work with CSIRO scientists, engineers and collaborate with national and international university partners to develop new machine learning and artificial intelligence methods that have general applicability. You will also have the opportunity to work with other members of the MLAI FSP Platform on projects ranging across multiple science research areas.
The position sits within the Spatiotemporal MLAI Activity. The Postdoctoral Fellow will work closely with Data61 machine learning and artificial intelligence experts, develop fundamental and transformative spatiotemporal machine learning/artificial intelligence algorithms and workflows for complex systems (e.g., robotics). Since manual annotation of large, multimodal, high-dimensional spatiotemporal data is challenging, approaches to use extensive collections of unlabelled data to learn generic representations are essential (self/semi-supervised Learning). Your research will focus on spatiotemporal encoding to ensure generalisation and transferability and algorithms that combine multiple data sources with domain knowledge and constraints. The successful candidate will work within national and international settings and as part of a diverse multidisciplinary team.
Your duties will include:
- Developing generalised methods for automating the analysis of spatiotemporal data to address problems of lack of labelled data, data sparsity, uncertainty and data integrations given the diversity of data types and scales.
- Implementing these methods efficiently using programming tools such as TensorFlow and PyTorch on high-performance computing systems.
- Publishing results in relevant international scientific venues (high-level journals and conferences).
- Evaluating the developed software to demonstrate its competitiveness and fitness for purpose, taking responsibility for functionality, performance and robustness.
- Interpreting and presenting research findings in artificial intelligence and machine learning to research scientists and practitioners from a wide range of other scientific areas.
Location: Pullenvale, Queensland
Salary: AU$89k - AU$98k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
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, robotics, 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 (full-time equivalent) of postdoctoral research experience.
- Solid knowledge of robotics, 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 or PyTorch.
- A sound history of publication in 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.
- Knowledge of Python, C++ or equivalent.
For full details about this role please view the Position Description
To be eligible to for role, you must be an Australian/New Zealand Citizen, Australian Permanent Resident or Australian temporary resident currently residing in Australia and be able to commence in the role by early 2022.
The successful applicant will be required to obtain and provide a National Police Check or equivalent. Additional integrity checks may be required for specific roles which require security clearance for working with children, Australian Government cybersecurity requirements or other identified security roles.
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.
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.
30 November 2021, 11:00pm AEDT
- Closing Date:
- 30 Nov 2021
- QLD - Pullenvale
- Work Type:
Research Assistants and Fellowships