Grant Funded Researcher

**(Level B) $102,952 to $121,779 per annum plus an employer contribution of up to 17% superannuation applies.**

**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 research projects at the Centre for Augmented Reasoning.**

The postdoctoral researcher for **‘Interactive machine learning and machine learning-driven science’ **will be supervised by Professor Ian Reid and Professor Dino Sejdinovic. This research topic will be explored in collaboration with CSIRO’s Data61, including its Imaging and Computer Vision Group.

This project will investigate machine learning (ML) driven science discovery, how scientific and expert knowledge can be embedded with data-driven machine learning, and how ML can supercharge scientific discovery. There will be opportunities to interact with and translate core research to business units of the CSIRO, such as astronomy, ecology, agriculture and food, robotics, and/or manufacturing.

The tasks of the researcher will include:

- Carrying out innovative, impactful research of strategic importance to the University and CSIRO that will, where possible, lead to novel and important scientific outcomes
- Recognising and exploiting opportunities for innovation and the generation of new theoretical perspectives, and progress opportunities for the further development or creation of new lines of research to be applied in a range of domains such as environmental science and manufacturing
- Working collaboratively with University and CSIRO colleagues on internal and external projects with associated deliveries.

Outputs will include incorporating domain knowledge into hybrid machine learning models which will be:

- Physical models
- Graphical causal models
- Data across modalities.

**This exciting role will contribute to the Centre for Augmented Reasoning’s objective to build world-class research capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia.**

**To be successful you will need**:
1. A PhD in computer science, statistics or mathematics, or a related discipline, or equivalent industry experience

2. Programming experience and expertise in Python and one or more relevant deep learning libraries and ML platforms such as PyTorch, Tensorflow

3. Experience and demonstrable expert knowledge in one or more of the following areas: machine learning or deep learning, computer vision, optimisation, scientific computing, computer science, and mathematics.

4. Track record of publications in top-tier machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals (e.g. NeurIPS, ICLR, ICML, AAAI, CVPR, ICCV, AISTATS, JMLR), commensurate with experience and opportunity

5. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience

6. A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners

7. Commitment to the principles of equity, diversity and inclusion.

**Desirable characteristics**:

- Has the experience and/or ability to contribute to the promotion of research capabilities to industry and the wider community.

**Enjoy an outstanding career environment**

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 artificial intelligence (AI) literacy and engagement in Australia.

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. Flexible working arrangements are on o