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Aidan Mooney

Associate Professor and Researcher at Maynooth University

Maynooth University

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Ireland

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Research Interests

Educational Technology

10%

Educational Psychology

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Computer Science

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Education

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Chemistry

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Cyber-physical System

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Environmental Science

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Aidan Mooney

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Maynooth University

PhD Scholarships in Computer Science and Related Research Areas at Maynooth University

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.

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