Study with us
Image credit: The University of Queensland
Our Centre’s objective is to enable Australian organisations to achieve responsible, secure, and agile value creation from data. We will build workforce capacity in Data Science, Machine Learning and Artificial Intelligence.
As a HDR student with CIRES, you will have the opportunity to work collaboratively with university and industry partner supervisors on research with real world impact. During your degree, you will undertake a 12 month industry placement with the industry partner.
We offer a generous scholarship package and will be recruiting for projects in 2023.
We currently have two PhD scholarship opportunities at The University of Queensland. Details below.
Project: On-demand Dataset Builder
Partner: Queensland Department of Education
Applications are now open and close 16th May 2023. Apply Now.
This project will develop a prototype system to showcase the scalability, reliability, and usability of an AI-assisted dataset builder for effective and efficient discovery and curation of multi-source and multi-modal educational data. Working in close collaboration with domain experts and end users from the Queensland Department of Education, the project team will review and investigate best practices for constructing on-demand data sets and the concept of “data as a service”. The project will also develop new methods for AI-assisted on-demand dataset builder and will evaluate with a human-centred lens. The research will result in validated methods and a prototype implementation of the system, road-tested with end users.
The advisory team for this project is Associate Professor Hassan Khosravi (Principal Advisor), Associate Professor Wojtek Tomaszewski, Professor Shazia Sadiq (Associate Advisors), and Dr Angela Ferguson (Queensland Department of Education).
For this position, CIRES is seeking a candidate with a good background in data science, data analytics, or machine learning; and proficiency in python programming language and machine learning software packages such as Pytorch.
Track record of publishing high-quality conference or journal paper and experience working with and ingesting structured and unstructured date from multiple sources are desirable.
Contact: Associate Professor Hassan Khosravi h.khosravi@uq.edu.au
Project: Value Measurement of Data Products
Partner: Allianz Worldwide Partners Australia
Applications are now open and close 16th May 2023. Apply Now.
Evaluating data products is a complex problem that transcends technical, organisational and customer perspectives. The provenance and transformations of data products through methods such as information extraction, fusion and aggregation add to the challenge. To date there is no rigorously developed framework for evaluating data products and the monetary, or public good value, it creates.
In collaboration with global insurance company, Allianz Worldwide Partners (AWP) Australia, this project will challenge and extend the current body of knowledge on value of data products including computation, human effort and perceived value, and deliver a domain-agnostic framework that will build business capacity on informing and prioritising data science projects.
This project focuses on how to maximise data-driven value creation and capture and is one of two CIRES projects with AWP Australia related to organisational and transformational aspects of data, algorithms, and AI.
The advisory team for this project is Dr Rocky Chen (Principal Advisor), Dr Wen Hua and Professor Shazia Sadiq (Associate Advisors), and Mr Shane Downey (AWP Australia).
For this position, the successful candidate is expected to have a good understanding of concepts from data science, business process, applied statistics, numerical linear algebra, and machine learning.
This project also requires proficiency in Python programming language and machine learning software packages, as well as experience in data processing and data analysis.
Contact: Dr Rocky Chen tong.chen@uq.edu.au