This project aims to develop a historical map of greater Melbourne, showing its yearly road development and residential land use from 1966 to the present. You will learn how to use a geospatial DBMS and a geospatial visualisation tool.
Honours and Masters project
Displaying 11 - 20 of 268 honours projects.
Bioinformatics and Data Science
Are you interested in biomedical? You could combine your data science and computing expertise to analyse DNA and genetics.
Quantum Data Processing
Are you interested in learning Quantum Computing from scratch? If yes, this project might be for you. Week by week, you will explore and learn the basics of quantum computing, focusing on data processing. You will answer questions such as what the limits of classical computing are, why new paradigms are needed, and where quantum computing may help.
Bundle Recommender Systems with Large Language Models
Bundle recommendation systems enhance user experience and increase sales by recommending a set of items as a bundle rather than individual items [1]. The understanding of items in bundles is that they should be complementary some how. In this project, we will explore the relationship between causal reasoning on items purchased and bundles. Causal reasoning could be used to infer if two purchases are related, and, moreover, language language models can be used to assess the plausability of this, to help create an argument using the Bradford-Hill criteria. Some recent research has…
Identifying Assumptions in Research Papers using AI
AI is starting to be used for reviewing in international AI conferences. For instance, http://paperreview.ai as announced by Andrew Ng as an “Agentic Reviewer” trained on ICLR 2025 reviews, and Google is field testing an AI-based Paper Assistant Tool for authors submtting to NeurIPS 2026. Significant research is going into developing these tools, and some good test data exists collected from previous conferences. In this project we will work with the VinUniversity AI group who is developing a benchmarking framework for evaluating AI reviewing. Research papers usually contain important…
Truth-Seeking with Language Models
It is said that ChatGPT is ‘not trying to be right, it’s just trying to be plausible.’ While the LLM community talk about hallucination, it is a complex phenomenon and a product of their construction. The training and theory of LLMs has no notion of truth, they generate text with no critical evaluation of content or sources. Many text sources are opinions, some may have subtle or not so subtle propaganda, some reflecting misinformed views, and LLMs reproduce this mess. Moreover, the training and theory of LLMs has no notion of epistemic uncertainty, they have no sense of uncertainty. …
Impact Stories from HCC
This is a Winter Student Research Internship ONLY not an honours or minor thesis project at this time.
Please apply here if you are interested in the role before the deadline:
https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter
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Winter Student Research Internship: Co‑designing Teamwork Feedback for Computing Education
This is a Winter Student Research Internship. Please apply here: https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter
Team‑based projects are widely used across computing education to support the development of technical competence alongside collaboration and professional skills. While students engage extensively in teamwork during these projects, educators often face challenges in seeing and responding to teamwork processes as they unfold, which can constrain opportunities to provide timely, process‑focused feedback beyond final project outcomes.
Winter Student Research Internship: Professional Value Beyond Automation: Graduates with Human-Centred Computing Background in AI-Mediated Work
This is a Winter Student Research Internship. Please apply here: https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter
Advances in artificial intelligence (AI) are reshaping work across computing-related professions. Although AI systems can perform some technical and cognitive tasks, they continue to rely on human judgement, responsibility, and contextual understanding. Identifying where human contribution remains critical is therefore a substantive question for disciplines concerned with socio-technical systems.
Pupil Labs eye tracking for visualisation experimentation
This is a Winter Student Research Internship ONLY not an honours or minor thesis project at this time.
Please apply here if you are interested in the role before the deadline:
https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter
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