- Utilize your experience in 3D computer vision
- Be part of a world-leading team of dedicated professionals
- Join CSIRO’s Data 61, the largest data innovation group in Australia
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 $97K to AU $105K plus up to 15.4% superannuation
Ref no: 58472
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) is desirable.
To see all the criteria required for success in this role, click on the ‘Position Details’ link below. Apply today! Position Details
We imagine. We collaborate. We innovate. At CSIRO, we do the extraordinary every day. We innovate for tomorrow and help improve today – for our customers, all Australians and the world. We do this by using science and technology to solve real issues. Diversity is the compass that navigates our innovation. We provide an inclusive workplace that respects, values and actively pursues the benefits of a diverse workforce - CSIRO
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. Find out more Balance
CSIRO Data61 are the largest data innovation group in Australia, a connector that brings together technology innovators, businesses and universities to transform Australian industry and to help solve our greatest challenges. A CSIRO business, we are creating our data-driven future.
How to apply: Please load one document containing your CV and a brief cover letter which outlines your experience as relevant to the role and your motivations for applying (Maximum 2MB). At the end of the online application process, you may be required to respond to some screening questions.
Applications close: Closing Date: Thursday 29 November, 2018