Revolutionise Australian Strata Management with Large Language Models

Australia’s 3.5 million strata properties rely heavily on management firms, but these traditionally low-tech companies are now struggling. Rising costs, inefficient operations, declining service quality, skill shortages, and increasing workload are eroding profits and diminishing the quality of life for tenants and strata staff. This project is at the forefront of that transformation, pioneering Australia’s next-generation strata management technologies. Collaborating with a leading Australian strata software company, this project expects to create Australia’s first strata management system powered by large language models. Key innovations include designing a universal strata foundation model, developing a dynamic knowledge integration mechanism, implementing a human-in-the-loop multi-agent system, and optimising resource efficiency. These innovations will significantly enhance the national strata software ecosystem, fostering industry sustainability.

The University of Queensland, Australia is a world's top 50 university (QS World University Rankings 2025). Embedded in the Data Science discipline at The University of Queensland, Brisbane, Australia, you will be part of a world-leading research group in Data Science and AI with research funding coming both from the industry sector (e.g., Amazon, Meta, Google) and the public sector (e.g., Australian Research Council).

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

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 large language models, foundation models, agentic AI, multi-agent, retrieval-augmented generation, graph learning, and time series forecasting would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field/s of computer science, data science or AI and the potential for scholastic success.

A background or knowledge of data science and AI is highly desirable.

You must submit an expression of interest (EOI) by 5 January, 2026 5 January, 2026.

Before you apply

1. Check your eligibility for the Doctor of Philosophy (PhD).
2. Prepare your documentation.
3. If you have any questions about whether the project is suitable for your research interests, contact Professor Hongzhi Yin (h.yin1@uq.edu.au).

When you apply

To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI

In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:

1. Are you applying for an advertised project: 'Yes'
2. Project: 'Research project scholarship'
3. Scholarship Code Listed in the Advertisement: STRATA-YIN
4. Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/revolutionise-australian-strata-management-large-language-models

Submit an EOI