Grant-Funded Researcher (A / B), School of Computer Science
(Level A) $89,610 - $96,007 per annum or (Level B) $100,933 - $119,391 per annum plus an employer contribution of up to 17% superannuation will apply.
Fixed term position for 2 years with the possibility of further extension.
We are seeking a motivated individual to work on an exciting ARC-funded project in visual navigation, involving work at the intersection of computer vision, robotics and machine learning. The successful applicant will work on ideas in large-scale and local navigation, under the direction of Prof. Ian Reid in the Australian Institute of Machine Learning (AIML) at the University of Adelaide. The applicant will work with other researchers and engineers in Prof Reid’s group and the wider Institute who share broad goals in scene understanding for control of robotic tasks, investigating topics such as visual SLAM (Simultaneous Localisation and Mapping), sensor fusion, visual tracking, robotic control and deep learning.
The AIML is the largest computer vision and machine learning research group in Australia. Based in Adelaide, it currently number more than 140 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.
The ideal candidate will enjoy working in a team with a “hands-on” approach to experimentation and “making stuff really work” allied to strong theoretical underpinnings. A good first degree in computer science, engineering or related discipline is essential. He/she will have a PhD in Computer Vision, Robotics or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. He/she must be a strong team player, and be able to communicate and work with the investigators and industrial partners. He/she will have a track record of publications in those fields commensurate with experience and opportunity. He/she will ideally have some experience of using open source packages such as opencv, ROS and pytorch and a track record of delivery on project-based work. For a Level B appointment the successful candidate is expected to have an excellent track record of publications and experience of supervision and/or team leadership, and at least one year of postdoctoral experience.
To be successful at Level A you will need:
- Have or be about to complete a PhD (or equivalent qualification) or have equivalent industrial experience in Computer Vision, Machine Learning, Robotics or other closely related area.
- A good first degree in Engineering, Computer Science or a related discipline.
- Publication record commensurate with experience and opportunity.
- A strong work ethic, and the ability to work well independently, and as a member of a broader team.
- Expertise and experience in computer programming, especially in C++ and Python.
In addition to the above, to be successful at Level B you will need:
- Have a PhD (or equivalent qualification or experience) in Computer Vision, Machine Learning, Robotics or other closely related area, and at least one additional year of postdoctoral experience.
- An excellent publication record commensurate with experience and opportunity.
- Experience of team leadership and/or supervision.
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 culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.
We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.
In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; 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 Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance.
Learn more at: set.adelaide.edu.au
If you have the talent, we'll give you the opportunity. Together, let's make history.
Click on the link below to view the selection criteria and to apply for this opportunity:
Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.
Applications close 11:55 pm, 27 July 2022 .
For further information
For a confidential discussion regarding this position, contact:
Professor, School of Computer Science
P: +61 (8) 831 32135
The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.