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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building
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safety margins are often required in structural design, leading to heavier structures, while maintenance intervals may be more conservative than necessary. Developing reliable methods to continuously
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universities. The transition towards electrified and energy-efficient energy systems poses significant challenges in predicting the coupled behaviour of thermofluid, electromagnetic, and rotordynamic processes
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. The studentship will integrate with work across the EPSRC Programme Grant “EEBio: Efficient engineering and control of predictable and reliable biotechnologies”; as such the candidate will be supported by a
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techniques such as back-light imaging and Schlieren, you will study solid CO₂ layer growth and the thermal and concentration boundary layers near the surface. Your work will contribute to a predictive
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mechanistic and reliable service-life prediction models for concrete infrastructure, supporting improved durability design, maintenance planning and resilience of reinforced concrete structures exposed
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maintenance intervals may be more conservative than necessary. Developing reliable methods to continuously assess the structural condition therefore enable both lighter designs and more efficient maintenance
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are challenging to inspect using conventional non-destructive inspection techniques. As a result, larger safety margins are often required in structural design, leading to heavier structures, while maintenance
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Primary Supervisor: Dr Ke Li Foundation models trained on DNA and RNA sequences are beginning to transform genomics, but their predictions often remain difficult to interpret. A model may identify a
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute