[visionlist] ARC Postdoc in Computer Vision for Space Surveillance

[Tat-Jun Chin]

- Prestigious international university
- Wide range of employee benefits
- Opportunity at the Australian Institute for Machine Learning (AIML)
- Opportunity to be a part of a thriving space and defence ecosystem

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The University of Adelaide
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The University of Adelaide is one of Australia's leading Group of Eight,
research-intensive universities and is consistently ranked among the top 1%
of universities in the world. Established in 1874, it is Australia's third
oldest university with a strong reputation for preparing educated leaders
and delivering research outcomes that contribute to local, national and
global wellbeing.

University of Adelaide employees enjoy a range of benefits and favourable
work conditions that include opportunities for career development and
advancement.

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The Australian Institute for Machine Learning
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AIML is one of the world’s largest institutes dedicated to basic and
applied research in AI, machine learning and computer vision. It is also
one of the most successful, in terms of winning some of the biggest
research awards and major benchmark competitions in the field, as well as
securing major industry and government contracts.

According to CSRankings.org, the School of Computer Science at Adelaide is
ranked third in the world (within 2010 and 2018) in the area of computer
vision. Much of this excellent result is due to the efforts of the
researchers at AIML.

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South Australian Space Industry
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The state of South Australia is home to over 60 space- and defence-related
organisations and companies. The state government is committed to further
develop the local space industry to create a thriving ecosystem. This
correlates with the recent formation of the Australian Space Agency, a
national-level organisation to lead and coordinate the nation’s ambition in
the space industry.

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ARC Postdoctoral Research Associate in Computer Vision for Space
Surveillance
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We are seeking a postdoctoral researcher for the ARC-funded project
"Space-Based Space Surveillance with Robust Computer Vision Algorithms".
The researcher will be developing, implementing and testing robust computer
vision algorithms for space surveillance and related areas. The researcher
will come under the supervision of Associate Professor Dr Tat-Jun Chin and
Dr Matthew Tetlow. There will also be a strong emphasis on and funding
support for conducting basic research and publishing at the major computer
vision and machine learning venues.

This role will involve the following duties:
- Developing and testing algorithms for optical space surveillance and
related areas.
- Collaborating with industry partners to transfer research outputs to
commercial products.
- Conducting basic research and publishing in computer vision and machine
learning.

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Salary:
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Level B $94,135

Superannuation: An employer contribution of 9.5% applies .

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Term of position:
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This fixed-term contract is available immediately for a duration of two
years.

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Position requirements
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To be successful you should have:
- A PhD in computer science, engineering, mathematics, or other relevant
discipline (if thesis submission is pending, state expected submission
date).
- Demonstrated strong research capability and/or potential, in terms of
publishing at the major venues in computer vision and/or machine learning.
- Has the experience and/or ability to conduct technology transfer to
industry partners.
- Able to perform collaborative research with researchers and engineers.
- Has strong interpersonal and communication skills.

Desirable characteristics are:
- Has the experience and/or ability to contribute to the promotion of
research capabilities to industry and the wider community.

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Application
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Please submit your application here:
http://careers.adelaide.edu.au/cw/en/job/498944/arc-postdoct
oral-research-associate-in-computer-vision-for-space-surveillance

Contact Associate Professor Tat-Jun Chin (tat-jun.chin at adelaide.edu.au) if
you have any queries.

Closing date:  31 August 2018

The University of Adelaide is an Equal Employment Opportunity employer.
Women, Aboriginal and Torres Strait Islander people who meet the
requirements of this position are strongly encouraged to apply.
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