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Summary Positioned within Ulster University’s AI Research Centre (AIRC) in the School of Computing, this research theme focuses on advancing artificial intelligence for environmental sustainability
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Summary Research has a high carbon footprint and hence a sustainable approach has become a necessity (UKRI, 2026) .Thus far the approach has been to deal with the low hanging fruit such as waste
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difficult to interpret and require vast amounts of data to perform well. This PhD will investigate how AI can become more adaptable, efficient, and understandable by integrating people directly into the
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the country’s net zero solutions and deliver substantial economic benefits. Recent advances in geothermal energy include integrating closed-loop ground source heat pump systems into civil engineering
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, and high-field NMR, using Ulster’s state-of-the-art facilities and Northern Ireland’s High-Performance Computing (NI-HPC) resources. You will gain skills in: Generative AI for structure prediction
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specifically on the microbiology laboratories in Ulster University. These laboratories have been identified for inclusion in this research as they can produce high volumes of waste due through single-use testing
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Summary This PhD project will develop and validate an ultrasound-based system for real-time monitoring of bone temperature and insertion forces during orthopaedic implant procedures. Excessive heat
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energy. A good understanding of the physics of air flow and heat transfer is required for this project. An understanding of thermal comfort is desirable. The work will involve experimental analysis using
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, mitigates the impact of climate variability, and enables year-round production of high-quality crops. However, the energy-intensive nature of vertical farming, particularly its reliance on artificial lighting
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. et al. (2024). Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization. Scientific Reports 14, 10080. https://doi.org/10.1038/s41598-024-60478-9