Lili Zhang

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.