PhD scholarship: Decentralised Collaborative Predictive Analytics on Personal Smart Devices

Summary

Enrolment status New students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing
HDR funding type Living stipend scholarship, Tuition Scholarship
Scholarship value $28,854 per annum (2022 rate), indexed annually
Scholarship duration 3.5 years with the possibility of 1 extension in line with UQ and RTP Scholarship Policy
Number awarded 2
Opening date 30 August 2021
Closing date 27 September 2021

Description

Supervisor - Associate Professor Hongzhi Yin

This project tackles the challenging problem of personalised predictive analytics with resourceconstrained personal devices and massive-scale data. The knowledge to be generated concerns privacy, fairness, and resource efficiency in the era of Internet of Things. The expected outcomes include a collaborative learning paradigm for building personalised models on personal smart devices in open and fully decentralised settings. Privacy and model fairness are core tenets of the paradigm. Personalised predictive analytics is frontier research that will position Australia at the forefront of AI and give business the tools needed to deploy innovative business systems for market exploitation with a secure, equitable and competitive advantage.

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.

School of Information Technology and Electrical Engineering

The Responsible Big Data Intelligence Lab (RBDI) is based in the School of ITEE, The University of Queensland. RBDI Lab aims and strives to develop energy-efficient, privacypreserving, robust, explainable and fair data mining and machine learning techniques with theoretical backbones to better discover actionable patterns and intelligence from large-scale, heterogeneous, networked, dynamic and sparse data. RBDI joins forces with other fields such as urban transportation, healthcare, agriculture, E-commerce and marketing to help solve societal, environmental and economical challenges facing humanity, in pursuit of a sustainable future.

Eligibility

To be eligible, you must meet the entry requirements for a higher degree by research.

This scholarship is open to Australian citizens, permanent residents and International students who are currently in Australia at the time of application and commencement. International offshore students are welcome to apply to commence in July 2022. Onshore applicants can commence earlier.

Before you get started

If this scholarship has rules, download and read them.

How to apply

To apply for admission and scholarship, follow the link on the upper right of this page. There is no separate application for scholarship because you will have the opportunity to request scholarship consideration on the application for admission.

Before submitting an application you should:

When you apply, please ensure that under the scholarships and collaborative study section you:

  1. Select ‘My higher degree is not collaborative’
  2. Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
  3. Select ‘Other’, then ‘Research Project Scholarship’ and type in ‘ANALYTICS-YINin the 'Name of scholarship' field.

See an example of what you have to do

Learn more about applying for a higher degree by research at UQ

Selection criteria

Applications will be judged on a competitive basis taking into account the applicant’s previous academic record, publication record, honours and awards, and employment history.

The applicant 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 transfer learning is highly desirable.

Contact

Associate Professor Hongzhi Yin

Terms and conditions

Read the policy on UQ Research Scholarships.

A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.