QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.

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Found 4 matching student topics

Displaying 1–4 of 4 results

Customised flexible work

Developing and supporting flexible or customised work arrangements is a key HR strategy in many organisations and has been shown to have benefits for both business and individual employees. However, research has also demonstrated the significant problem of policy-utilisation gaps in relation to flexible work, including concerns about unequal access, low uptake amongst men and penalties that result from adjusting standard working arrangements.Student projects are available in this field of research and there is the possibility of utilising existing and …

Study level
PhD, Master of Philosophy, Honours

Exploring the accessibility needs of visually impaired peer workers in digital employment support platforms

This project will explore how blind and visually impaired (VI) peer workers use digital platforms in their day to day practice, with the aim of identifying or co-designing a platform that is accessible, JAWS compatible and aligned with the requirements of industry partner Chapter1’s peer-led employment services.

Study level
Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Facilitating gaining trust in AI

Artificial intelligence (AI) technologies are automating service delivery in many sectors. Businesses have shown interest in using these technologies for delivering complex services in a way that meet the unique needs of customers. The technology gained more popularity particularly during Covid-19 outbreak, as it helped organisations to become more efficient in service delivery and increased service availability for customers / service applicants. However, gaining managers’ and users’ trust in these systems has always been a significant challenge. Particularly, managers and …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Understanding responsible deployment of computer vision for urban planning

Advances in artificial intelligence (AI) offer urban planning practice many novel prospects. By the responsive use of AI, planners can effectively analyse data, improve processes, increase efficiency, and prioritise human-centric aspects of planning to develop sustainable cities. Computer vision is one of the key areas where responsible AI is applied in urban planning to revolutionise the analysis and interpretation of visual data, like images and videos captured in cities to aid decision and plan making processes. While the potential impacts …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

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