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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

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Country

Australia

University

University of Adelaide

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Statistics
ML

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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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