Postdoctoral Researcher

**(**Level B) $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 CommBank Centre for Foundational AI.**

**Position description-**

This postdoctoral research position is part of the exciting new five-year partnership between the Commonwealth Bank of Australia (CBA) and the Australian Institute for Machine Learning (AIML) at the University of Adelaide. The partnership aims to boost foundational AI research in Australia, focusing on areas such as natural language processing, computer vision, and machine learning.

The tasks of the postdoctoral researcher (innovation) will include:

- Develop innovative algorithms, machine learning models, and AI systems that address real-world challenges in banking and finance.
- Collaborate closely with CBA representatives to understand industry needs and translate research into practical solutions.
- Publish research findings in top-tier conferences and journals in AI, machine learning, and related fields.
- Contribute to the development of prototypes and proof-of-concept systems that demonstrate the potential of AI in financial services.
- Participate in regular meetings and workshops with CBA to ensure alignment between research goals and industry needs.
- Mentor junior researchers and PhD students working on related projects within the partnership.

Outputs will include:

- Research publications in high-quality journals and conferences.
- Innovative AI solutions and prototypes addressing specific challenges in the financial sector.
- Regular progress reports and presentations to both AIML and CBA stakeholders. Innovative AI solutions and prototypes addressing specific challenges in the financial sector.
- Regular progress reports and presentations to both AIML and CBA stakeholders.

**To be successful you will need**:
1. A completed PhD in either computer science, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic engineering, or in a related discipline.

2. A minimum of two years post-doctoral research experience, whether in academia or industry, including leadership experience.

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.

**Desirable characteristics**:

- Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms.
- A track record of publications in machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals, commensurate with experience and opportunity.

Preference will be given to Australian citizens or permanent residents, or New Zealand citizens.

**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. 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 teachin