Postdoctoral Researcher - CommBank Centre for Foundational AI
تفاصيل الوظيفة
( Level B) $111,031 to $131,335 per annum, plus an employer contribution of 17% superannuation applies. Fixed-term position available for up to 24 months. 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 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. This role offers the opportunity to carry out cutting-edge research at the intersection of computer vision, natural language processing, and financial technologies. The successful candidate will work directly with AIML Chief Scientist, Prof Anton van den Hengel, his research team, and CBA representatives to publish high-impact research and develop innovative AI solutions for the financial sector. The tasks of the postdoctoral researcher (innovation) will include:
- Conduct world-class research in foundational AI, with a focus on applications in the financial sector.
- 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.
- 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.
- 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.
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