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PhD: AI for Data Privacy and Utility (PhD Scholarship)
Where: Melbourne, Australia Australia
What: About Research Project
Making the best trade-off between data privacy and utility is a vital challenge in privacy-preserving outsourcing environments. This project aims to develop a balanced distributed framework to achieve the best utility of outsourced data while protecting private information. The framework consists of general structure of distributed evolutionary algorithms and a predefined topology for high optimization efficiency and a dynamic grouping recombination model. The project outcomes will be beneficial to applications in the nation as it incorporates new privacy constraints and utility requirements raised by emerging technologies to enable better protection of sensitive information and maximal data utility in outsourced systems.

About You
The successful applicant will need to meet the entrance requirements for a PhD at Victoria University (https://www.vu.edu.au/study-at-vu/how-to-apply/apply-for-graduate-research/doctor-of-philosophy-phd-applications) and have a background in evolutionary computation or related research directions. You will be able to work well in a team which includes industry partners. This scholarship is open to domestic and international students.

About Institute for Sustainable Industries and Liveable Cities (ISILC)
ISILC undertakes applied and translational research to create healthier, smarter and more-sustainable communities in the West of Melbourne and beyond. We do this in collaboration with industry and the community, with the goal of enhancing life quality.
This approach allows us to address a wide range of important issues under our major themes, within which several disciplines interact.

Who: Hua Wang, hua.wang@vu.edu.au
When: Until 2022-10-30 09:00
Presented at next GECCO?:



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