Honours and Masters project

Game-based learning is increasingly used in Computing education to encourage active participation, collaboration, problem-solving and application of technical and professional knowledge. Activities can range from low-cost classroom games such as Jeopardy-style quizzes, Bingo and team challenges to sophisticated digital simulations in which students make decisions and experience their consequences.

Teamwork is a critical graduate capability in computing education, yet students often receive little meaningful feedback about how they collaborate until a project has finished. This limits opportunities for teams to identify issues early, improve their collaboration, and develop teamwork skills throughout the semester.

This is a Summer Student Research Internship advert, running for 10-12 weeks over the summer break.

There is scope for this work to continue as an honours or minor thesis project afterwards. If you are interested in that, particularly the immersive visualisation side, please get in touch.

(Note that summer and winter student internships must be applied for here: https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter)

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Please note this advert is for a Summer Research Internship. It is not currently an advertisement for an honours or masters thesis project.

Please note you can ONLY apply for this internship via the  internship application form. 

Internship Project: https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter

This project develops a distributed digital twin framework for smart grid data monitoring and analytics. The research focuses on simulating and emulating smart grid environments to enable real-time monitoring, intelligent data processing, and predictive analytics. By integrating distributed computing, digital twin technology, and adaptive resource management, the framework aims to improve the scalability, reliability, and efficiency of smart grid operations while supporting data-driven decision-making and proactive system maintenance.

This project aims to develop a lightweight YOLO-powered digital twin framework for real-time air traffic monitoring using airport surveillance cameras. The research investigates how computer vision techniques can be integrated into a digital twin capable of representing aircraft locations, movement trajectories and traffic flow in near real time.

LearnLens is an inclusive adaptive agentic AI learning system designed to support students while they learn complex and unfamiliar concepts. Its central purpose is to measure and support how learning develops, rather than evaluating students mainly through a final answer, program, circuit, assessment submission, or completed product.

This project asks how quantum and hybrid quantum-classical optimisation can be used not just to solve energy management problems more efficiently, but to solve them in ways that are fair, transparent, and usable by real people. The student will build simplified sustainable energy scheduling and resource allocation models as QUBO problems, then solve them with classical and quantum-inspired methods using Qiskit.

Motivation: The Unseen Bedrock of Modern Life

Cybersecurity and cryptography are the invisible, essential foundations of the modern digital world. Every day, billions of transactions and communications rely on complex mathematical puzzles to ensure confidentiality, integrity, authenticity, privacy and even more security features.

Congenital heart disease affects 1 in 100 babies. Spatial gene expression patterns are critical to understand how the heart develops and what underlying genetic patterns are behind heart malformation. High-throughput spatial temporal data have been recently generated with spatial transcriptomics technologies. Capitalising on these rich datasets, we aim to build a custom analysis workflow in which the cells are profiled with precise spatial gene expression information. The student will provide fundamental contribution to of this project, by: