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Размер стипендии

A$29,863.00 (1,468,913 руб)


Тип финансорования

Fee waiver/discount



31 March 2023


Уровень обучения

Магистратура и PhD

О стипендии

Провайдер стипендии

The University of Queensland

Количество стипендий


Что покрывает стипендия?

  • Cost of living
  • Tuition fees

Больше о стипендии

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



All International


Для студентов любого пола

Формат преподавания

All types of delivery mode

Принцип отбора

Only selective applicants are considered

Форма обучения

Full time

Год зачисления

All intakes

Другие критерии

Academic excellence

Предмет и уровень обучения, которые вы выбрали

Предметные области*

Компьютерные науки

Уровень обучения

Магистратура и PhD

Другие требования

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

Основы отбора

Students are shortlisted based on their

  • Academic excellence

Критерии отбора

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.

Как подать заявку

Процесс подачи заявки

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

Детали подачи заявки (от провайдера стипендии)

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.

Дедлайн для заявления

31 March 2023

Contact Institution

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