Grant-Funded Researcher A/B, School of Computer Science and Australian Institute of Machine Learning
(Level A/Level B) $70,346 to $117,627 per annum plus an employer contribution of up to 17% superannuation may apply
Fixed term position for 2 years with the possibility of a further 1 year extension
Contribute to a research project improving robotic navigation, extending robotics’ use in previously unseen environments
The School of Computer Science is seeking to recruit a Grant-Funded Researcher at Level (A) or (B). Join a project developing a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previously unseen environments, and the ability to control such agents with more human-like instructions. Such capabilities are desirable, and in some cases essential, for autonomous robots in a variety of areas including automated warehousing and high-level control of autonomous vehicles.
The successful applicant will work closely on theoretical and algorithm development, assist on dissemination (publications, tutorials, etc), act as co-supervisor for a Higher Research Degree student and will work closely with the student on implementation, experimentation and benchmarking. You will have a strong work ethic and the ability to work well independently and as a member of a broader team. You will also demonstrate a commitment to the principles of equity, diversity and inclusion.
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
- Expertise and experience in computer programming, especially in C++ and Python
- Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience, both orally and written
In addition to the above, to be successful at Level B you will need:
- Have or be about to complete a PhD (or equivalent qualification) in Computer Vision, Machine Learning, Robotics or other closely related area with a good first degree in Engineering, Computer Science or a related discipline
- A strong publication record commensurate with experience and opportunity.
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
- 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 below for a copy of the selection criteria and to apply:
Please ensure you address and upload your responses to all selection.
Application close 11:55 pm, 21 April 2020.
For further information
For a confidential discussion regarding this position, contact:
ARC Senior Research Fellow, School of Computer Science
P: +61 (8) 8313 9123
You'll find a full selection criteria 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.