**(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 may 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 **Learning to Interact and Reason in Open-Ended Tasks**, in CAR Research Theme 2 - Interactive Machine Learning, will report to Dr Ehsan Abbasnejad. The role will help create a new area of research in vision-and-language tasks called (potentially open-ended) open-domain visual interaction (ODVD). This work is motivated by the need for improved reasoning in conversational agents by employing causal and counterfactual reasoning in ODVD. The purpose of ODVD is to extract the intent of humans, change human actions, and learn to act indistinguishably human. Potential tasks include the following:
- Creating new benchmarks for ODVD, which may include 1) an autonomous driving dialogue where the agent converses about where to go, speed, route, places to stop or park, etc., and 2) an embodied agent with navigation manipulation that conducts dialogue with the agent about the desired outcome.
- Developing dialogue as interventions in ODVD. Human intent and its potential outcome are modelled. It is important to consider what humans could do differently and alternatively what agents could utter differently to intervene in human actions or responses.
- Research in continual imitation learning, where the agent learns from the demonstration dialogues with humans.
**To be successful you will need**:
- A PhD in Computer Science or related discipine, 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: deep learning, probabilistic graphical models, active learning, causality, vision-and-language technology such as visual question answering
- Track record of publications in top-tier machine learning, computer vision, artificial intelligence conferences and/or journals, commensurate with experience and opportunity
- Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience
- A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners
- Commitment to the principles of equity, diversity and inclusion.
**I addition to the above to be successful at Level C, you will also need**:
- Postdoctoral research experience (industry and/or academia)
- A strong track record of building new research directions and leading quality research programs in 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 co