Apply now Job no:498944
Work type:Fixed term - Full-time
Categories:Faculty of Engineering, Computer & Mathematical Sciences, Level B
- Collaborating with industry partners to transfer research outputs to commercial products
- Developing, implementing and testing robust computer vision algorithms for space surveillance
- Research position available for 2 years
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.
The Australian Institute for Machine Learning 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.
South Australian Space Industry 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.
ARC Postdoctoral Research Associate in Computer Vision for Space Surveillance 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.
Salary: (Level B) $96,135 - $113,788 per annum
Superannuation: An employer contribution of 9.5% applies.
Term of position: This fixed-term contract is available immediately for a duration of two years.
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 characterstics are:
- Has the experience and/or ability to contribute to the promotion of research capabilities to industry and the wider community.
Please address and upload your responses to the selection criteria within the online application. If you have any queries regarding this position, please contact Associate Professor Tat-Jun Chin, +618 8313 6188 or email: firstname.lastname@example.org.
Please note if the position description/selection criteria link is not appearing, you will need to view on another device.
Closing date: 11.55pm, 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
Download the Position Description
Advertised:19 Jul 2018 12:00 AM Cen. Australia Standard Time
Applications close:31 Aug 2018 11:55 PM Cen. Australia Standard Time
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