Grant Funded Researcher

**(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.

This project proposes a new geometry processing pipeline capable of transforming unstructured 3D data acquired with commodity sensors, into a well-structured fit for purpose polygonal mesh. The output of this processing can be used directly in the industrial contexts that make intensive use of structured 3D assets, like manufacturing, games, computer-aided design, or animations.

The research will include:

- processing the datasets of modelled meshes to learn how the connectivity is related to geometric features at different scales
- exploiting this knowledge to build a novel modelling tool capable of replicating the manual modelling process on an input point cloud
- exploring the use of externally imposed constraints on the mesh construction, such as suitability for 3D printing or other manufacturing process.

**To be successful at Level B you will need**:

- A PhD in computer science or a 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: computer graphics, supervised machine learning, computational geometry.
- 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

**In addition to the above, to be successful at Level C you will also need**:
6. Post-doctoral research experience (industry and/or academia)

7. 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 collaboration - 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 packag