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ARDÚ Doctoral Scholarships
PhD Scholarships in Computer Science and Related Research Areas at Maynooth University Maynooth University in Ireland
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Ireland
University
Maynooth University

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About this position
Maynooth University’s Faculty of Science and Engineering is advertising the ARDÚ Doctoral Scholarship Scheme, a set of funded PhD opportunities across multiple research areas. The scheme supports doctoral researchers working in the University’s research beacons, including Data Science and Digital Transformation, Health and Wellbeing, and Sustainability and Climate Change.
In the Computer Science Department, four scholarships are highlighted in this post under the supervision of Behnam Faghih, Mansoor Ahmed, Zi Ye, and Dr Keith Maycock. The listed projects include music information retrieval for Irish traditional music, semantic-aware cyber digital twins for agri-food supply chains, AI-driven conversational and process-based learning in GenAI-enabled education, and multimodal learning for abdominal X-ray report generation with large language models.
The broader ARDÚ scheme also includes projects in biology, chemistry, electronic engineering, mathematics and statistics, psychology, sport science and nutrition, and human health research. This makes it a strong opportunity for applicants interested in interdisciplinary doctoral research with computational, data-driven, biomedical, and sustainability themes.
Applicants are encouraged to contact the relevant supervisor directly to discuss fit and potential applications. The closing dates vary by project; for the Computer Science opportunities shown here, deadlines include 29 May 2026, 15 June 2026, and 1 July 2026. The scheme is presented as a university-funded doctoral scholarship programme, but the post excerpt does not specify stipend or tuition details.
Best suited for candidates with interests in computer science, artificial intelligence, machine learning, large language models, digital twins, data science, and related interdisciplinary research areas.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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