Honours and Masters project

Mis/disinformation (also known as fake news), in the era of digital communication, poses a significant challenge to society, affecting public opinion, decision-making processes, and even democratic systems. We still know little about the features of this communication, the manipulation techniques employed, how to inoculate people, and the types of people who are more susceptible to believing this information.

The student can choose one of these areas to develop a proposal on.

This project focuses on developing agentic world generation systems for robotic intelligence. Rather than manually constructing simulation environments one by one, the research investigates how AI agents can program, generate, inspect, and refine structured 3D worlds that can serve as scalable training environments for robots.

Want to work with a real humanoid robot?

GINNY is a humanoid robotics project at Monash FIT exploring how robots can become more capable, adaptive, and socially intelligent partners.

You’ll work at the intersection of robot perception, LLMs, planning, and neuro-symbolic reasoning, building systems that allow a humanoid to understand its environment, reason about people and relationships, and make explainable decisions.

The key research question is simple but ambitious:

This project addresses the challenge of multi-view visual reasoning, where a model must integrate sparse observations from multiple viewpoints to build a coherent understanding of the underlying 3D world. Unlike standard single-image reasoning, multi-view reasoning requires the model to reason over view consistency, spatial layout, object relations, and hidden structure across observations.

This project focuses on developing data-driven benchmarks for robotic intelligence. The research will identify important limitations in current robotic systems, translate these limitations into measurable research questions, and design datasets and evaluation protocols that systematically test them.

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 addresses a clear and urgent research problem situated at the intersection of technology adoption, academic labour, and equity.

Online learning environments provide students with access to a wide range of learning resources, including learning management systems (LMS), discussion forums, recorded lectures, assessments, and AI-supported learning tools. However, relatively little is known about how students navigate between these resources, how knowledge shared in one platform is transferred to another, and which patterns of engagement are associated with effective learning.

Project background

Computing graduates are expected to possess more than technical skills. Industry increasingly values capabilities such as communication, teamwork, leadership, conflict resolution, stakeholder engagement, and project management. However, these skills are often taught separately, making it difficult for students to understand how they connect in professional practice.

Generative AI chatbots are increasingly being adopted in higher education to support student learning and provide timely responses to questions. Within the Faculty of Information Technology at Monash University, AI-powered chatbots have been integrated into Ed Discussion (Ed Forum) for several units to assist teaching teams in managing online discussions and supporting student engagement.