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Scalable and Lightweight On-Device Recommender Systems

Queensland, Australia

Award value

A$29,863.00 (US$ 20,057)


Funding type

Fee waiver/discount



Expected March 2024


Study level


About this scholarship

Awarding Institution

The University of Queensland

Number of awards

Not specified

What does this scholarship cover?

  • Cost of living
  • Tuition fees

More details on the scholarship

AUD $29,863 per annum (2023 rate), indexed annually

Entry requirements


All International


Applicable to all genders

Delivery mode

All types of delivery mode

Selection approach

Only selective applicants are considered

Study mode

Full time

Intake year

All intakes

Other criteria

Academic excellence

Course subject and study level you are applying for

Subject area(s)*

Computer Science and IT

Study level


Other eligibility requirements

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. 

Academic entry requirements

You have to prove you are prepared for PhD study. You do this by showing you:

have completed some research experience
have completed an approved university degree and
can meet the English language requirements.

Number awarded - May vary

Selection basis

Students are shortlisted based on their

  • Academic excellence

Selection criteria

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.

You will demonstrate academic achievement in the field/s of machine learning, predictive analytics, 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.

How to apply

Application process

You will be automatically considered for scholarship eligibility when you apply for the relevant course at this institution

Application details (from the awarding institution)

Before submitting an application you should:

check your eligibility for a Doctor of Philosophy (PhD)
prepare your documentation
contact Dr Tong (Rocky) Chen to discuss your suitability for this scholarship

You apply for this scholarship when you submit an application for a Doctor of Philosophy (PhD). You don't need to submit a separate scholarship application.

Application deadline

Expected March 2024

Contact Institution

Contact the institution for more details on the application process, eligibility, and any other information about the scholarship and courses offered.

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Other scholarships at this university

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