ARC Grant-Funded Researcher A, Australian Institute for Machine Learning
(Level A) $70,346 to $94,588 per annum plus an employer contribution of 9.5% superannuation will apply
Fixed-term position for two years
We are seeking a postdoctoral researcher for the ARC-funded project New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search. The researcher will conduct fundamental research in mathematical programming and optimisation in computer vision and related application areas, such as 3D reconstruction, visual SLAM and motion analysis. The researcher will come under the supervision of Associate Professor Dr Tat-Jun Chin, who is an award-winning researcher in this topic of inquiry. Candidates who are familiar with machine learning techniques and their application to the problems of interest are encouraged. There will also be an emphasis on developing practical algorithms for industry problems, particular in mining, space and autonomous driving. The research outcomes will contribute towards computer vision applications that are more practical and reliable.
The Australian Institute for Machine Learning (AIML) is one of the world’s largest institutes dedicated to basic and applied research in artificial intelligence, 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 (from 2010 and 2020) in the area of computer vision. Much of this excellent result is due to the efforts of the researchers at AIML.
This position provides funding for conference publication and travel. As the successful candidate, you will have a strong work ethic and the ability to work well independently and as a member of a broader team in addition to demonstrating a commitment to the principles of equity, diversity and inclusion. Ideally you will have the experience and/or ability to contribute to the promotion of research capabilities to industry and the wider community.
To be successful you will need:
- Have or be about to complete a PhD (or equivalent qualification) in Computer Vision, Machine Learning or other closely related areas, and a good first degree in Engineering, Computer Science or a related discipline.
- A record of quality research as evidenced by publications in leading journals and at conferences.
- Experience in working with geometric problems (including multiple view geometry, 3D reconstruction and visual SLAM) and related optimisation, machine learning (in particular deep learning) and the interface between geometry and learning.
- Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience, both orally and written.
- Expertise and experience in computer programming, especially in Matlab, Python and C/C++.
Enjoy an outstanding career environment
The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.
It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.
The Faculty of ECMS aims to increase the diversity of its staff population and applications from women are particularly encouraged.
To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:
- A variety of flexible working arrangements
- Support to staff with caring responsibilities to participate in conferences, workshops, field trips and other approved work related travel
- Research support schemes designed to support female academics to enhance and promote their career
- Childcare facilities
- Women’s professional development network opportunities
In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Learn more at: adelaide.edu.au/jobs
Your faculty's broader role
The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are work leaders in their fields and graduates are highly regarded by employers.
Learn more at: ecms.adelaide.edu.au
If you want to change tomorrow, act today
Click on the link below for a copy of the selection criteria and to apply:
Please address and upload your responses to all selection criteria.
Application close 11:55 pm, 23 April 2020.
For further information
For a confidential discussion regarding this position, contact:
Associate Professor, School of Computer Science
P: +61 (8) 8313 6188
The University of Adelaide is an Equal Employment Opportunity employer. We proudly support gender and cultural diversity and are passionate about creating a more vibrant and enriching community of staff and students.