First listed on: 06 March 2020

Postdoctoral Fellowship in Computer Vision and Image Analysis 

The Opportunity
  • Develop innovative machine learning methods (deep learning) for the analysis of images.
  • Represent CSIRO at leading national and international conferences and forums.
  • Join CSIRO’s Data61, the largest data innovation group in Australia 

Join the Imaging and Computer vision Group at the CSIRO’s Data61, joining 600 other data science scientists building innovative solutions for Australia. In this role, you will develop innovative machine learning methods (deep learning) for the analysis of images. Several projects are available including medical image analysis, 3D object detections, and human pose estimation. Aspects involving spatio-temporal modelling and tracking are of high importance for our research. Be supported by a large team comprising many post-graduate students and be involved in their supervisions.

Your duties will include:
  • Develop innovative concepts, theories, tools and techniques related to the analysis of video and still images.
  • Harness the growing volume of publicly available data sources, as well as work on establishing proprietary datasets in collaboration with our partners.
  • Produce high quality scientific and technical outputs including journal articles, conference papers and presentations, patents and technical reports.
  • Represent CSIRO at leading national and international conferences and forums.

Location: Canberra, ACT or Sydney, NSW 
Tenure: Specified term of 3 years
Salary: AU$83K – AU$94K + up to 15.4% superannuation
Reference: 65851

To be considered you will need:

Under CSIRO policy only those who meet all essential selection criteria can be appointed.

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as computer vision or medical image analysis.
    • 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 in 3D computer vision such as 
    • reconstruction, visual localisation and mapping,
    • human pose detection and analysis, 
    • semantic vision with reasoning about the 3D world, and
    • understanding visual scenes over time, or advanced deep learning methodology applied to medical image analysis.
  • Strong experience with scientific computing platform and programming languages such as Python, Matlab, C++, PyTorch, Tensorflow.
  • 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 sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
  • A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations.

For more information please view the Position Description.


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

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.

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


At CSIRO, Australia's national science agency, we solve the greatest challenges through innovative science and technology.

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

Wednesday, 8th April 2020 at 11:59PM AEST

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

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