First listed on: 23 October 2020

CSIRO Postdoctoral Fellowship - Machine Learning for Robotics

The Opportunity
  • Work with world-leading robotics and machine learning scientists
  • Apply your knowledge to exciting challenges in real robot systems
  • Join the CSIRO Data61 Robotics and autonomous Systems group

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.

In this position you will undertake research in the CSIRO Data61 Robotics and Autonomous Systems group. As the successful candidate you will develop fundamental and transformative machine learning/artificial intelligence algorithms and workflows for robotics applications. You will focus on the advancement and development of artificial intelligence methods and tools to improve generalisation and transferability and algorithms applied to 3D LiDAR and LiDAR-camera robot’s data. You will also work on addressing challenges facing data uncertainty, sparsity and lack of labelled data. 

Your duties will include:
  • Work with CSIRO scientists and engineers within the Robotics Research Group and across other research programs at Data61 to develop algorithms and techniques for deep learning frameworks for 3D LiDAR and LiDAR-camera robot’s data.
  • Implement these methods efficiently using programming tools such as TensorFlow and PyTorch on high performance and robot computing systems.
  • Publish results in relevant international scientific venues (high-level journals and conferences).
  • Collaborate with members of a diverse project team and external partners to ensure research directions can lead to lasting impact in application domains.

Location:  Brisbane QLD preferred, other locations may be considered.
Salary:  AU$86k – AU$94k plus up to 15.4% superannuation
Tenure:  Specified term of 3 years
Reference:  65482

To be considered you will need:
  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area such as: robotics, machine learning, artificial intelligence; electrical engineering; computer science or engineering; or 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.

  • A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
  • 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 or PyTorch.
  • Knowledge of Python, C++ or equivalent.

For details about who to contact and for more information please view the Position Description


The successful applicant will be required to obtain and provide a National Police Check or equivalent.

Flexible Working Arrangements

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

Diversity and Inclusion

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.  Diversity and Inclusion Strategy

We are committed to the safety and wellbeing of all children and young people.


At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.

How to Apply

To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.

Applications Close

Monday 23 November 2020, 11:00 pm AEDT

For selection documentation
and details on how to apply visit or call 1300 984 220

Recent Jobs