CSIRO Postdoctoral Fellowship in Computer Vision and Image Analysis

CSIRO

Location: Canberra

Job Type: Full time

Posted


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 Computer Vision, Artificial Intelligence or Machine Learning?
  • Do you want to advance your scientific knowledge & experience?
  • 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.

We are seeking to appoint a highly motivated postdoctoral fellow to conduct cutting-edge research in self-supervised learning and adaptable learning systems, this includes developing novel semantic representations and methods that can generalise across scenarios and support complex reasoning. Aspects involving spatio-temporal modelling and tracking are also of high importance for our research. The fellow will contribute with a strong background in computer vision, machine learning, and programming in the following core areas:

  • Learning from unannotated data, so called self-supervision, for the purpose of addressing common problems in machine learning and computer vision such as lack of data, lack of annotations and lack of access to domain expertise.
  • Continuous lifelong learning (adaptable learning systems)
  • Enabling top-down as well as bottom-up modelling via encoding domain knowledge. That is, learning models based not only on the input of data but also via explicit knowledge of domain experts.

The successful candidate will join the high-performing Imaging and Computer vision Group at the CSIRO’s Data61, joining 600 other data science scientists building innovative solutions for Australia. The fellow will be supported by a large Team comprising many post-graduate students and be involved in their supervision.

Your duties will include:

  • Carrying out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
  • Recognise and exploit opportunities for innovation and the generation of new theoretical perspectives, and progress opportunities for the further development or creation of new lines of research to be applied in a range of domains such as environmental science and manufacturing.
  • Independently undertake experimental and/or observational research activities, often requiring the supervision and/or training of others to ensure experiments are established in accordance with research design, or as required.
  • Produce high quality scientific papers suitable for publication in high quality journals and for presentation at top ranked international conferences in computer vision and machine learning venues.

Location: Canberra, ACT (other locations may be considered)

Salary: AU$89k - AU$98k plus up to 15.4% superannuation

Tenure: Specified term of 3 years

Reference: 88142

To be considered you will need:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as computer vision and/or Artificial Intelligence and/or Machine Learning. Please note: To beeligible for this role you must have no more than 3 years (full-time equivalent) of postdoctoral research experience.
  • Demonstrated experience in conducting research and development activities in one or more of the following image and video analysis, computer vision, deep learning for object detection, segmentation, classification, tracking and 3D scene modelling and understanding.
  • Confident Python programming and experience with one or more ML platforms such as 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.

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

24 October 2022, 11:00pm AEDT

You’ve got this!