University of Adelaide
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Industry PhD in AI, Privacy and Cybersecurity with Fully Homomorphic Encryption Adelaide University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Scholarship funding of $53,635 per annum for 4 years plus a tuition fee waiver. Industry embedment with CommBank is included.
Deadline
Sep 30, 2026
Country
Australia
University
University of Adelaide

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About this position
Adelaide University Graduate Research School is advertising an Industry PhD opportunity in AI, privacy, cybersecurity, and homomorphic encryption. The project, titled Confidential by Design: Transformer Architectures Tailored to Fully Homomorphic Encryption, explores how transformer models can process sensitive data while it remains encrypted, with clear applications in privacy-preserving financial services.
The PhD area is listed as Computer Science / Mathematics, and the project is run with industry partner Commonwealth Bank of Australia (CommBank). The post names Dr Hemanth Saratchandran as academic supervisor. The opportunity includes industry embedment with CommBank and is based in Adelaide, South Australia.
Funding is strong: the scholarship is advertised at $53,635 per year for 4 years plus a tuition fee waiver. The post says the opportunity is open to domestic and international applicants.
Ideal candidates should have a strong background in Mathematics or Computer Science, research experience in AI, foundational knowledge of machine learning and deep learning, and relevant programming skills in Python/C++.
Applications close on 30 September 2026, with rolling shortlisting applying. Interested applicants should review the attached project information for full eligibility details and application instructions, then apply before the deadline.
Funding details
Scholarship funding of $53,635 per annum for 4 years plus a tuition fee waiver. Industry embedment with CommBank is included.
What's required
Applicants should have a strong background in Mathematics or Computer Science, research experience in AI, foundational knowledge of machine learning and deep learning, and Python/C++ programming skills. Open to domestic and international applicants.
How to apply
Review the attached project information for full details, eligibility, and application instructions. Submit an application before the closing date; rolling shortlisting applies.
More information can be found here
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