
Postdoctoral Researcher
4 days ago
**Level B at $111,031 to $131,335 per annum plus an employer contribution of 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 tasks of the postdoctoral researcher will include:
- To work closely with CAR director and researchers to scope and develop research ideas.
- To develop algorithms, machine learning models, Python modules, demonstrators and training pipelines for publication and translation into commercial products that can be widely and reliably adopted.
- Following design standards and principles, to determine the specification, design and benchmarking/testing of software, components, interfaces, and related characteristics.
- To develop and iterate prototypes that provide solutions for end-users.
- To establish and maintain stakeholder relationships through effective communication, negotiation and issues management to engage stakeholders and ensure project deliverables are met.
Outputs will include:
- Project scoping and problem analysis reports.
- Research publications in high-quality journals and conferences.
**This exciting role will contribute to the Centre for Augmented Reasoning’s objective to build world-class research and engineering 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 completed PhD or a submitted PhD thesis in either computer science, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic engineering, or in a related discipline.
2. Engineering experience in the translation of machine learning, or related research, into an applied or client context.
3. Programming experience and expertise in Python or languages such as Linux OS, C++,.NET, and Java, and one or more relevant deep learning libraries and ML platforms such as PyTorch or Tensorflow, Scikit learn, or CARET, including a track record of effective deployment of these within artificial intelligence or machine learning projects or client problems.
**Desirable characteristics**:
- Experience in delivering working software and integrated software/hardware solutions, preferably in the Agile software development methodology.
- Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms.
- Experience in Deep Learning techniques and solutions used in commercial software development.
- A track record of publications in machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals.
Preference will be given to Australian citizens, Australian permanent residents, or New Zealand citizens.
**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 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
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