Project opportunity
This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.
This project aims to address the resource-intensive and non-resilient nature of existing cloud-based personalised recommendation services. This project expects to generate new knowledge in the intersection of on-device machine learning and recommender systems. The expected outcomes include a novel auto-deployment platform that can efficiently customise a model for each user device's configuration, supporting on-device recommendation and model updates with tiny computational footprints. The benefits of these outcomes will position Australia at the forefront of AI and give numerous businesses the tools needed to deploy innovative business systems with a secure and cost-effective advantage.
Scholarship value
As a scholarship recipient, you'll receive:
- living stipend of $32,192 per annum tax free (2023 rate), indexed annually
- tuition fees covered
- single Overseas Student Health Cover (OSHC)
Supervisor
School of Information Technology and Electrical Engineering
Email: tong.chen@uq.edu.au
Preferred educational background
Your application will be assessed on a competitive basis.
We take into account your
- previous academic record
- publication record
- honours and awards
- employment history.
A working knowledge of deriving state-of-the-art machine learning approaches for real-world applications and publishing conference/journal papers on prestigious venues would be of benefit to someone working on this project.
The applicant will demonstrate academic achievement in the field(s) of machine learning, recommender systems, and edge intelligence and the potential for scholastic success.
A background or knowledge of model compression, decentralized machine learning, and information retrieval is highly desirable.
Latest commencement date
If you are the successful candidate, you must commence by Research Quarter 1, 2024. You should apply at least 3 months prior to the research quarter commencement date.
If you are an international applicant, you may need to apply much earlier for visa requirements.
How to apply
You apply for this project as part of your PhD program application.