Introduction

Applications are invited for research bursaries for undergraduate students wishing to pursue a 5 week summer research project in the School of Computer Science, starting on the 25th of May 2026. Two scholarships are available, each with a bursary of €2,000.

Eligibility

  • These internship bursaries are available to all undergraduate students in University of Galway and other Irish HEI’s who have a significant computing aspect to their degree. 
  • Students who are already undertaking a funded placement/internship are ineligible to apply.
  • Students previously funded under this scheme are ineligible to apply.
  • Final year students are eligible to apply.
    • Note: If the proposed summer project is related to a final year project, the student must clearly articulate the distinction between the two projects.

Eligible supervisors are listed under the supervisors and projects section or scroll to the end of this page. Candidates should make contact directly with a prospective supervisor to discuss a project and to arrange for the submission of the required recommendation by the prospective supervisor.

Academic Co-ordinator

The academic Co-ordinator is Dr Adrian Clear.  For any queries, students can email computerscience@universityofgalway.ie

Possible Project Descriptions

Please see the supervisors and projects on this page for a list of available project descriptions and associated supervisors.

Application Deadline

Sunday, 26th April 2026

How to Apply:

Students should email a single pdf file to computerscience@universityofgalway.ie containing:

  1. Your Full Name and Student ID.
  2. The name of the proposed project supervisor and a copy email confirming their agreement to act as supervisor.
  3. A short description of the research project (200 words maximum).
  4. A table containing percentage grades for all university modules completed to date. Provisional results for Semester I of the current academic year should be included.

There is no official application form.

Evaluation

Applications will be evaluated by members of the School's Research and Graduate Studies Committee. Students will be ranked based on their academic grades, the proposed research project and the supervisor's recommendation of the application.  

Supervisors and Projects

Supervisor Research Keywords Example Project

Dr. Frank Glavin

frank.glavin@universityofgalway.ie

 

Artificial Intelligence, Machine Learning, Reinforcement Learning, Game AI, Computer Science Education Innovative Approaches to Computer Programming Pedagogy in the Era of Artificial Intelligence

Dr. Waqar Shahid Qureshi

waqarshahid.qureshi@universityofgalway.ie 

Applied Artificial Intelligence, Computer Vision for Robotics Applied Computer vision for Robotics or Egocentric Vision

Dr. Karl Mason

karl.mason@universityofgalway.ie 

Artificial Intelligence, Evolutionary Computing, Neural Networks, Applied Machine Learning, Evolutionary Robotics, Optimization Collaboration in multi-robot systems using Artificial Intelligence.
Dr. Priyanka Verma
priyanka.verma@universityofgalway.ie 
Artificial Intelligence, Sustainability AI for Sustainability and Sustainability of AI
Dr. Effirul Ramlan
Effirul.Ramlan@universityofgalway.ie 
LLM hallucination; transformer interpretability; activation steering; mechanistic interpretability; causal analysis; sparse autoencoders; Can We Control Hallucination for Molecular Design?

Dr. Jamal Nasir

jamal.nasir@universityofgalway.ie 

LLMs, XAI Veritas: A Multi-Modal AI System for Robust Machine-Generated Text Detection: Veritas is an advanced AI system designed to automatically detect, and flag text generated by Large Language Models (LLMs) like ChatGPT, Gemini, and Claude. In an era of AI-driven misinformation, academic dishonesty, and automated spam, Veritas provides a critical defence by distinguishing between human and machine-authored content. The system goes beyond simple classifiers by combining deep learning analysis with explainable AI (XAI) to not only make a prediction but also provide a rationale for its decision

Dr. Jamal Nasir

jamal.nasir@universityofgalway.ie 

LLMs, NLP The HumourEngine Framework: To develop an open-source framework and toolkit for enhancing the humour generation capabilities of Large Language Models (LLMs), moving beyond simple joke templates to create context-aware, culturally relevant, and stylistically diverse humour
Dr. Adrian Clear
adrian.clear@universityofgalway.ie 
Human-Computer Interaction, Sustainability, Pervasive Computing, Intelligent User Interfaces Designing a conversational interface for permaculture gardening