Project Description Note: This PhD advert requires the applicant to develop their own research proposal before submitting an application (see “How to Apply”). The proposal shall fall within the outline below, but… Read More »PhD Intelligent, Low-Power, and Networked Biodiversity Monitoring Device
Project Details Abstract With the rise of autonomous intelligent technology, the ability to explain why a particular action was proposed or taken is more urgent than ever.… Read More »PhD Explainable AI Using Human-Computer Dialogue
Project Description Flagship black-box large language models (LLMs) such as GPT-5 and Gemini-3 perform well across a wide range of tasks, including those that require… Read More »PhD Decision Tree Induction from Small Language Models for Black-Box LLM Adaptation
Project Description NLP benchmarks strongly influence research directions, yet many benchmarks prioritise convenience and leaderboard performance over realism, usability, and societal relevance. As a result,… Read More »PhD Designing Benchmarks that Reflect Real-World NLP Use
Project Description As Artificial Intelligence (AI) systems (such as Large Language Models) are increasingly used to support high-stakes text production, understanding how humans and AI systems should collaborate becomes critical.… Read More »PhD Human-AI Collaboration for High-Stakes Text Production
Project Description Human evaluation remains a central component of assessing modern natural language processing (NLP) systems, particularly for tasks where correctness, usefulness, or appropriateness cannot be fully captured by automatic… Read More »PhD Towards Scalable and Reliable Human Evaluation Frameworks for NLP Systems
Project Description AI research today adheres to a data-first paradigm. From a mathematical perspective, however, data can be seen as a product of models, i.e., mathematical assumptions such as structures, variables, and… Read More »PhD Computational Abstraction for Biologically Plausible Models of Reasoning
Project Description Remote sensing measurements provide indirect, noisy, and often incomplete observations of environmental systems. Tasks such as super-resolution, SAR despeckling, and spectral unmixing are fundamentally… Read More »PhD Generative Bayesian Inference for Remote Sensing Inverse Problems
Project Description Flood mapping from Earth observation (EO) data is a critical input to disaster risk management and climate resilience planning. However, machine learning models for flood… Read More »PhD Geo-Aware Graph Learning for Transferable Flood Mapping from Earth Observation Data GRAFT
Project Description Background Our workplaces are becoming increasingly connected. While this enables remote work and can improve accessibility, it can also introduce potential issues related to… Read More »PhD Creepy Office Using Speculative Design Methods to Explore Privacy, Security and Ethical Considerations for Connected Workplaces