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Trinity College Dublin

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PhD Position in Statistics and Higher Education (Generative AI Impact) at Trinity College Dublin Trinity College Dublin in Ireland

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded for four years, including a tax-free stipend of €25,000 per annum. EU fees (for those who qualify) will be covered for four years.

Deadline

Mar 8, 2026

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Country

Ireland

University

Trinity College Dublin

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Keywords

Computer Science
Education
Open Science
Higher Education
Stem Education
Student-centered Learning
Computational Statistics
Statistics
Statistical Modelling
Machine learning

About this position

Trinity College Dublin is offering a fully funded, four-year structured PhD position in Statistics and Higher Education, focusing on the impact of generative artificial intelligence (GenAI) tool use on student learning and assessment. The project, supervised by Dr. Emma Howard, is based in the Discipline of Statistics and Information Systems, School of Computer Science and Statistics. The research will critically assess the validity, reliability, and effectiveness of different assessment types in light of GenAI, using both observational and experimental studies, data collection, and advanced statistical modelling. The project will also address challenges such as short-term measurement and uncertainty in GenAI usage, with a strong emphasis on open science and reproducibility.

Applicants should have or expect to attain at least a 2.1 honours degree (or equivalent) in statistics, applied mathematics, STEM/higher education research, education, psychology, or a similar field. Experience with statistical computing (preferably R), statistical analysis, machine learning, or statistical modelling is required. A Master's degree in a relevant field and applicable research or practical experience are desirable. Non-native English speakers must demonstrate English language proficiency as per Trinity College Dublin's requirements.

The position provides a tax-free stipend of €25,000 per annum and covers EU tuition fees for four years. The anticipated start date is 1st September 2026, and the application deadline is 8th March 2026. To apply, candidates should submit a single PDF containing a cover letter, CV, and academic transcripts to Dr. Emma Howard ([email protected]), with the subject line '[PhD Stat & HE] Your name'.

This opportunity is ideal for candidates interested in the intersection of statistics, higher education, and the transformative impact of AI on learning and assessment. Trinity College Dublin is a top-ranked, research-intensive institution, providing an excellent environment for academic and professional growth in these fields.

Funding details

The position is fully funded for four years, including a tax-free stipend of €25,000 per annum. EU fees (for those who qualify) will be covered for four years.

What's required

Applicants must have or expect to attain at least a 2.1 honours degree or equivalent in statistics, applied mathematics, STEM/higher education research, education, psychology, or similar. Experience with statistical computing (preferably R) and an interest in STEM/higher education research are required. Proficiency in statistical analysis, machine learning, or statistical modelling is needed. Applicants whose first language is not English must demonstrate English language competence per Trinity College Dublin requirements. Desirable: a Master's degree in a relevant field and applicable research or practical experience.

How to apply

Submit a single PDF with a cover letter, CV, and academic transcripts to Dr. Emma Howard ([email protected]). Use '[PhD Stat & HE] Your name' in the subject line. See the official post for full details.

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