Grant Funded Researcher (B / C), Embodied AI Reasoning
(Level B) $102,952 to $121,779 or (Level C) $125,537 to $144,368 per annum plus an employer contribution of up to 17% superannuation will apply.
2-year fixed-term position available, with the possibility of an extension, subject to project end-date. Flexible work arrangements can be negotiated with the right candidate.
Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia and contribute to world leading Augmented Reasoning research projects
The Centre for Augmented Reasoning, headquartered within the Australian Institute for Machine Learning, is seeking to recruit fifteen Grant-Funded Researchers at Level B or Level C in augmented reasoning machine learning for 12 research projects across 4 Research Themes.
AIML is Australia’s leading research institute in machine learning and artificial intelligence. AIML’s computer vision research is among the best in the world. With world-leading researchers, modern facilities and an innovative culture, we’re committed to delivering research that is highly valued by our local and global communities. Located at Lot Fourteen, Adelaide, AIML is the largest computer vision and machine learning group in Australia with more than 170 members including academics, research staff, and students.
The institute works on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning. Find out more at www.adelaide.edu.au/aiml
The Centre for Augmented Reasoning (CAR) is a $20M investment by the (then) Department of Education, Skills and Employment in people and research to make computers better at interacting with humans so that all technology is easier and safer to use. Managed under AIML, the Centre is supporting Advanced Reasoning research through grants and PhD scholarships, facilitating innovation and rapid commercialisation, and increasing AI literacy and engagement in Australia.
The postdoctoral researcher for Embodied reasoning using large language models for robotic planning and interaction will be supervised by Dr Feras Dayoub. The role will contribute to the centre’s objective to build world-class research capability in robotic embodied reasoning, which involves natural language processing, computer vision, deep learning and machine reasoning while demonstrating the potential and impact of embodied machine learning for industries in Australia.
The research approach will be quantitative research methods with an experimental research design. The project will focus on performing experiments using robots, including a robotic quadruped (dog). This project will enable a robot to establish a dialogue with a large language model (LLM) to execute a novel task.
Primary outcomes will be:
- Novel methods for leveraging large language models’ powerful reasoning capabilities combined with an onboard visual-language model to enable advanced robotic embodied reasoning.
- Answering the key questions:
- How to automatically generate task-relevant questions (prompts) for the LLM based on the robot’s visual reasoning of its environment;
- How to condition the LLM to produce actionable answers that guide the robot during task execution.
To be successful you will need:
A PhD in computer science or related discipline, or equivalent industry experience
- Programming experience and expertise in Matlab, Python, or C++, or other relevant languages
- Experience and demonstrable expert knowledge in one or more of the following areas: natural language processing, vision-language models, deep learning, applied robotic vision; and mobile robotics.
- Track record of publications in top-tier machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals, commensurate with experience and opportunity
- A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners
- Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience
- Commitment to the principles of equity, diversity and inclusion.
In addition to the above to be successful at Level C, you will also need:
- Post-doctoral research experience (industry and/or academia)
- A strong track record of building new research directions and leading quality research programs in the area of machine learning, artificial intelligence and/or computer vision evidenced by one or more of: investigator roles in grants, contract research, consultancies, media stories, joint publications with project partners, patents, commercialisations or other non-commercial outcomes.
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.
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 ‘Apply Now’ button to be taken through to the online application form. 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, 9 January 2023.
The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.
For further information
For a confidential discussion regarding this position, contact:
Dr Angela Noack
Program Manager, Centre for Augmented Reasoning
P: +61 (08) 8313 8069
You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)
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.