Fully Funded PhD Studentship in AI Evaluation, Decision-Making, and Trustworthy AI at Dublin City University
Fully funded PhD studentship 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 research spanning
behavioural analysis
,
adversarial testing
,
robustness
,
computational modelling
,
reinforcement learning
,
Bayesian modelling
, and
explainable AI
. It is supervised by
Dr. 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).
This is a
4-year full-time
funded PhD. The package includes a
tax-free stipend of €25,000 per year
,
fees covered for four years
, research and computational support, and conference travel funding. The project is supported by the
Central Bank of Ireland
and the
Insight Research Ireland Centre for Data Analytics
.
Eligible 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 discipline. Strong quantitative and programming skills are desirable, and experience in machine learning, computational modelling, behavioural analysis, or statistical modelling is an advantage. Applicants whose first language is not English must meet Dublin City University English language requirements.
The application deadline is
30 June 2026
. To apply, email Dr. Lili Zhang with a single PDF containing a CV, transcripts, and a short statement of purpose, and use the subject line
CBI PhD Application
followed by your name.