Grant Funded Researcher (B)-Machine Learning Driven Science

Job no:512021
Work type:Fixed term - Full-time
Campus:Adelaide
Categories:Level B, Faculty of Sciences, Engineering and Technology

(Level B) $107,276 to $126,894 per annum plus an employer contribution of 17% superannuation applies.

There is one fixed-term position available of up to two (2) years duration, 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 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 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 develop novel ML methodologies grounded in domain-specific scientific understanding as well as 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 novel methodologies for incorporating domain knowledge into hybrid machine learning models, including but not limited to:

• Physics-informed 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, optimization, scientific computing, computer science, probability and statistics.

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, UAI, 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:

Enjoy an outstanding career environment

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 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 offer for all roles at the University.

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

As a member of Australia’s G08, the University of Adelaide is recognised as one of the nation’s most respected research-intensive universities, challenging and inspiring graduates to make a real difference. The Faculty of Science, Engineering and Technology (SET) holds an outstanding reputation for teaching, research, and quality graduates. Comprised of eight schools, 21 centres and five institutes, the Faculty of SET is responsible for teaching over 8,500 students across our three campuses, North Terrace, Waite and Roseworthy, and has an annual budget of $300 million. The faculty is a significant contributor to the University’s research reputation, earning annual research revenue above $120 million. Many of our research areas have achieved a world-class research rating of 5 in the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences, Agriculture, Food and Wine and Animal and Veterinary Science. The Faculty of SET is an innovative and agile working environment that champions excellence, diversity and inclusion in our teaching, research, and global engagement leadership.

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 11:55pm (South Australia time), Sunday 11th February 2023***

For further information

For a confidential discussion regarding this position, contact:

Professor Dino Sejdinovic
Professor, School of Computer & Mathematical Sciences
E: [email protected]

You'll find a full selection criteria document below: (If no links appear, try viewing on another device or in a different web browser)

The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.

The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application. 

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