First listed on: 20 December 2018

Senior Research Scientist, Computer Vision and Image Understanding

  • Utilize your experience in 3D computer vision and image understanding
  • Be part of a world-leading team of dedicated professionals
  • Join CSIRO’s Data 61, the largest data innovation group in Australia

The Position:  

We are seeking to appoint a highly motivated Research Scientist to undertake computer vision research. The successful candidate will contribute to multiple projects undertaken by the CSIRO and in collaboration with other academic and commercial partners. These projects will include the development and deployment of novel algorithms and tools in 3D scene and objects modelling, as well as semantic scene understanding. 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.

To be successful in this role you will be enthusiastic about making a hands-on contribution to solving the research challenges found in multiple projects involving bionic vision, autonomous vehicle, or object detection using advanced machine learning methodology, especially deep learning

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;
  • Carry out innovative, impactful research of strategic importance to CSIRO;
  • 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;
  • Contribute to the development of innovative concepts and ideas for further research.                                                          

Location:  Black Mountain, ACT
Salary:      AU $111K to AU $130K plus up to 15.4% superannuation
Tenure:     Indefinite
Ref no:      58471

To be considered you will have:

  • A doctorate in Computer Vision or a related discipline area, plus at least 3 years of relevant post doctorate research experience.
  • Ability to investigate issues of complex and ill-defined problems and develop appropriate responses by adapting/creating and testing alternative solutions.
  • Experience in 3D computer vision such as reconstruction, Visual Localization and Mapping, RGB-D, semantic vision with reasoning about the 3D world, or understanding visual scenes over time such as optical flow.
  • Well-developed written and verbal communication skills, for example, publications in academic environments such as scientific journals/conference proceedings, experience presenting and demonstrating at conferences, industry exhibitions and internal training seminars.
  • A strong mathematical/analytical background in related areas is desirable.
  • Advanced programming skills and software design in languages relevant for computer vision research (e.g. C/C++, Python, MATLAB) and frameworks for deep learning (e.g. Tensor flow, PyTorch) desirable.

To see all the criteria required for success in this role, click on the ‘Position Details’ link below. Apply today! Position Details

CSIRO’s Commitment to Diversity

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.

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 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. 

Apply Online

To apply online, please provide a CV and cover letter that outlines how your experience meets the selection criteria for this position.

Applications Close

Monday 28 January, 2019

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

Recent Jobs