(Level B) $102,952 - $121,779 per annum plus an employer contribution of 17% superannuation applies.
Two year fixed-term contract available immediately. Flexible working arrangements available including part-time hours.
This exciting new role at the Australian Institute for Machine Learning (AIML) provides the opportunity to work with the world’s leading researchers in machine learning, artificial intelligence and computer vision. Building your career at AIML offers many rewards.
The postdoctoral researcher will be supervised by Professor Javen Shi and will work with other team members on causality research and a re-identification (Re-ID) application. The tasks of this role include:
- causal learning with incremental data and varying downstream tasks
- causal knowledge graphs
- snail detection and Re-ID in images or videos captured by cameras at varying sites.
AIML is Australia’s leading research institute in machine learning, artificial intelligence and computer vision. 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. AIML is the largest computer vision and machine learning group in Australia with over 130 members including academics, research staff and students. The institute works on a mixture of fundamental and commercially orientated research projects in computer vision and machine learning, with a strong track record of publication in the top venues. The University’s Computer Vision research is amongst the best in the world. Find out more at https://www.adelaide.edu.au/aiml/home Find out more information about working at AIML here https://www.adelaide.edu.au/aiml/career-opportunities.
We welcome applications from candidates covering a range of career stages. Position is available at Level B.
To be successful you will need:
- A PhD in Computer Science, Engineering or other Machine Learning-related field.
- Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks.
- Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural networks and/or probabilistic graphical models; computer vision such as re-identification and/or tracking.
- A good publication record in top tier machine learning and/or computer vision conferences 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.
The following will also be highly desirable:
- 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 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.
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.
Your faculty's broader role
The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance.
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, 19 October 2022.
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. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.