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Found 3 matching student topics

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Supporting Boundary Management in Young People’s AI Companion Interactions

We invite applications for a PhD position within an interdisciplinary research team examining how young people engage with AI companion chatbots (e.g., Character.AI, Replika) and how they manage risks and boundaries in these interactions.AI companions have grown in popularity since the COVID-19 pandemic and are increasingly used by young people seeking connection. This trend raises important concerns, including exposure to harassment, misinformation, and self-harm, as well as the potential impact on human relationships when reliance on AI companions becomes significant.This …

Study level
PhD
Faculty
Faculty of Science
School
School of Computer Science

Trust formation in generative AI–supported mental health Services

Generative Artificial Intelligence (GenAI) tools such as chatbots and AI companions are increasingly positioned as accessible forms of mental health support. However, user engagement with these services depends heavily on trust, particularly in contexts characterised by vulnerability, stigma, and emotional risk. Trust in mental healthcare differs from trust in other service settings, raising important questions for marketing and service researchers.This project investigates how trust is formed and evaluated in GenAI‑supported mental health services from a consumer and service marketing perspective. …

Study level
Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Advanced numerical modelling to study fluid flow and heat transfer of ground-mounted photovoltaic panels for the power generation industry

The increase in global energy demand necessitates further advancement in photovoltaic (PV) systems. Advancements in PVs could potentially play a role to help meet the Paris Agreement of limiting global temperature increase to below 2°C.The performance of ground-mounted PV panels commonly found in solar farms depends on a myriad of factors such as tilt angle, microclimate i.e. wind loads, shading, solar irradiance, and dust deposition. This project aims to develop an advanced numerical model, namely computational fluid dynamics (CFD), backed …

Study level
PhD, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

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