Fully Funded 4 Year PhD Opportunity at Trinity College Dublin Explores How Students Use Generative AI in Higher Education ·Trinity College Dublin

Overview

This fully funded PhD opportunity at Trinity College Dublin invites applications from researchers interested in exploring how students engage with generative artificial intelligence (genAI) tools in higher education.

Eligibility

Applicants must have backgrounds in statistics, data science, education, psychology, or related disciplines. Candidates are encouraged to meet one of the following pathways:

• Statistics, data science or analytics pathway:
  • A minimum 2.1 honours degree or equivalent in statistics, data science, data analysis, or a related field.
  • Experience with statistical computing tools such as R, SPSS, or Python.
  • Demonstrated engagement with STEM or higher education research.
• Education or psychology pathway:
  • A minimum 2.1 honours degree or equivalent in education, psychology, or a related field.
  • Demonstrated skills in statistical or data analysis.
  • Experience analysing data computationally using tools such as R, SPSS, or Python.

Applicants from other backgrounds may also apply, but previous education in another language requires proof of English proficiency.

Benefits

Successful candidates will receive financial support through the Trinity Research Doctorate Award (TRDA), which includes:

• A tax-free stipend of €25,000 per year.
• Coverage of EU and non-EU tuition fees for four years.
• A full-time four-year structured PhD programme.

How to Apply

Interested applicants must submit a single PDF document containing:

• A cover letter of no more than two pages explaining suitability and motivation.
• A curriculum vitae of no more than two pages, including educational background, qualifications, and details of two academic referees.
• Academic transcripts from completed degrees.

Applications and informal inquiries should be sent to Dr. Emma Howard at emhoward@tcd.ie. Use the email subject line: [TRDA PhD Stat & HE] Your name.

Deadline

The deadline for applications is 23 July 2026.