**(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.**
**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 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 inspi