Fully Funded PhD Studentship in AI Evaluation, Decision-Making, and Trustworthy AI Dublin City University in Canada

Fully funded PhD studentship available at Dublin City University in AI Evaluation, Decision-Making, and Trustworthy AI as part of the Central Bank of Ireland PhD Programme in AI & Data Science.

The project focuses on how Large Language Models (LLMs) make financial recommendations under uncertainty, with emphasis on behavioural analysis, adversarial testing, robustness, and computational modelling. The broader research themes include Generative AI, AI Safety, Trustworthy and Explainable AI, Reinforcement Learning, and Bayesian Modelling.

The studentship is supported by the Central Bank of Ireland and the Insight Research Ireland Centre for Data Analytics. Supervision is by Lili Zhang at Dublin City University, with co-supervision from Prof. Tomas Ward (DCU School of Computing) and Prof. Robert Whelan (Trinity College Dublin School of Psychology).

Funding includes a tax-free stipend, research and computational support, and conference travel funding. The opportunity is interdisciplinary and suitable for candidates interested in AI, data science, cognitive science, psychology, and quantitative modelling.

Eligibility: applicants should have or expect to attain before the project start at least a 2.1 honours degree or equivalent in computer science, artificial intelligence, data science, statistics, cognitive science, mathematics, psychology, or a related field. Strong quantitative skills and programming ability are expected; experience in machine learning, computational modelling, behavioural analysis, or statistical modelling is desirable.

For informal enquiries, contact [email protected]. No formal application link or deadline is stated in the post.