PhD Scholarship in Privacy-Preserving Machine Learning

For students who are interested in creative and challenging projects, and those with background in cybersecurity and AI.

Data analytics has catalysed a wide spectrum of intelligent and quality applications. A recurrent challenge society confronts is that institutes tend to combine their data and draw a mutual benefit through analysing their aggregated dataset, yet their sensitive data cannot be shared across boundaries. This project will enable new techniques for privacy-preserving collaborative analytics on sensitive data, which realise the mutual benefits while mitigating the renewed privacy concerns in this era of intelligence.

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$35,886

One (1).

Applicants should meet RMIT HDR admission requirements.

31/12/2028

Self-motivated applicants with a relevant background should email their Resume and Transcripts to Prof Xun Yi, xun.yi@rmit.edu.au, and Dr Maggie Liu, xiaoning.liu@rmit.edu.au

N/A.

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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PhD Scholarship in Privacy-Preserving Machine Learning