University of Adelaide
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National Industry PhD
PhD in Data-efficient Transformers: Effective Training from Small Datasets Adelaide University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Scholarship provides AUD 53,635 per year for four years, plus a tuition fee waiver, academic and industry supervision, and an industry embedment with CommBank. Professional development training is also included through Adelaide University’s Graduate Research and Innovation Training program.
Deadline
Oct 30, 2026
Country
Australia
University
University of Adelaide

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About this position
Applications are open for a PhD opportunity at Adelaide University through a National Industry PhD project titled “Data-efficient transformers: Effective training from small datasets”. The project is offered by Adelaide University in partnership with Commonwealth Bank of Australia (CommBank) and will be based at the CommBank Centre for Foundational AI Research at AIML.
The research focuses on machine learning, artificial intelligence, transformers, and data-efficient training—specifically, developing new approaches for training AI transformers from small datasets. The successful candidate will work alongside academic and industry experts and gain experience in an industry-linked research environment.
Funding includes AUD 53,635 per year for four years, a tuition fee waiver, academic and industry supervision, and an industry embedment with CommBank. The candidate will also have access to professional development training through Adelaide University’s Graduate Research and Innovation Training program.
Eligibility is open to domestic and international applicants with relevant qualifications and research experience in mathematics, computer science, or machine learning. Applications are open until 30 October 2026.
To learn more and apply, use the application link provided in the post.
Funding details
Scholarship provides AUD 53,635 per year for four years, plus a tuition fee waiver, academic and industry supervision, and an industry embedment with CommBank. Professional development training is also included through Adelaide University’s Graduate Research and Innovation Training program.
What's required
Applicants must meet the entry requirements for a PhD at Adelaide University and have relevant qualifications and research experience in mathematics, computer science, or machine learning. The post is open to domestic and international applicants.
How to apply
Read the opportunity details and submit an application through the linked page. Ensure you meet the PhD entry requirements and prepare evidence of relevant qualifications and research experience. Applications close on 30 October 2026.
More information can be found here
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