136 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" positions at Ulster University
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Particle Imaging Velocimetry. Knowledge of computational fluid dynamics will be desirable. The work will also involve techno-economic analysis to determine their financial viability and sustainability will
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
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that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have
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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered
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peacebuilding, conflict or the welfare state) or involve other disciplines, including but not limited to peace and conflict studies, social policy, political science, computing and film. A PhD may only be
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as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
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. It aligns with the Programme for Government 2024–2027 and positions the region as a leader in equitable, multilingual governance. The project’s outcomes—evidence-based policy recommendations
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programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part
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, computational fluid dynamics (CFD) models, are used to aid fire safety design, but they are often computationally intensive and time-consuming, hindering reliable fire safety assessments. Artificial intelligence