Grant-Funded Researcher A, Research Fellow B, Senior Research Fellow C, AIML
Multiple research positions available (Level A) $70,346 to $94,588 / (Level B) $99,441 to $117,627 or (Level C) $121,256 to $139,445 per annum plus an employer contribution of up to 17% superannuation may apply
Fixed term positions available for up 2 years, with the possibility of extension
Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia
We are seeking up to three individuals to work in a project team developing autonomous systems. In particular we aim to develop methods for active semantic scene understanding using a fusion of visual and other sensor data, and to integrate this with control to create autonomous vehicle that can operate in an unstructured and potentially contested or otherwise dangerous environment. The posts are for immediate appointment and for up to two years in duration, with possible extension beyond this.
The successful applicants will work with Prof. Ian Reid, Prof Gustavo Carneiro and A/Prof Tat-Jun Chin and others in the Australian Institute of Machine Learning at the University of Adelaide, and will collaborate with researchers from an industry-academic partnership including BAE Systems, DST Group, University of Melbourne the Trusted Autonomous Systems Defence CRC. Activities will include implementation of solutions for visual SLAM (Simultaneous Localisation and Mapping), sensor fusion, visual tracking, robotics control and deep learning.As the successful candidate, you will enjoy working in a team with a “hands-on” approach to experimentation and “making stuff really work” and a good first degree in computer science, engineering or related discipline is essential.
The AIML is the largest computer vision and machine learning research group in Australia. Based in Adelaide, it currently has more than 120 members including academics, research staff and students. The group works on a variety of fundamental and commercially oriented research projects in computer vision and machine learning, and has a very strong track record of publications in the top venues, and of successful technology transfer
Grant-Funded Researcher (Level A)
You will have an excellent track record in development of software, and integrating this with robotic hardware. You will have some experience of using open source packages such as opencv and ROS and a track record of delivery on project-based work. You must be a strong team player, and be able to communicate and work with the local team, the investigators and industrial partners.
To be successful at Level A you will need:
- A good first degree in Engineering, Computer Science or a related discipline.
- A track record of delivering working software and integrated software/hardware solutions with expertise and experience in computer programming, especially in C++ and Python.
- A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industry partners.
- Fluency in written and spoken English, with an ability to communicate scientific and engineering ideas to an expert audience, both orally and written.
- Commitment to the principles of equity, diversity and inclusion.
Research Fellow (Level B) and Senior Research Fellow (Level C)
As a Research Fellow/Senior Research Fellow, you will have some experience of using open source packages such as opencv and ROS and a track record of delivery on project-based work. You must be a strong team player, and be able to communicate and work with the investigators and industrial partners and will have a PhD in Computer Vision, Robotics or Machine Learning and a deep and demonstrable knowledge of these fields. As the Research Fellow/Senior Research Fellow, you will have a track record of publications in those fields commensurate with experience and opportunity. For a Level C appointment the successful candidate is expected to have an excellent track record of publications and experience of supervision, at least two years of postdoctoral or industrial experience, and experience of leading teams.
In addition to the Level A requirements, to be successful at Level B you will need:
- Have or be about to complete a PhD (or equivalent qualification) or have equivalent industrial/academic experience in Computer Vision, Machine Learning, Robotics, Artificial Intelligence or other closely related area
- Experience of working with various deep learning tools and a track record of effective deployment of these within robotics and computer vision projects
In addition to Level A and B requirements, to be successful at Level C you will need:
- Have a PhD in Computer Vision, Machine Learning, Robotics or other closely related area
- An outstanding publication record in Robotics, Computer Vision or Machine Learning commensurate with experience and opportunity
- Experience of leading teams to effective delivery of projects
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 the link to the online application form below and address and upload your responses to all selection criteria. Application close 11:55pm, 27 April 2020.
For further information
For a confidential discussion regarding this position, contact:
Professor Ian Reid
Head of School, Computer Science
Administrative queries should be directed to:
You'll find full selection criterias below: (If no links appear, try viewing on another device)
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.