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Field
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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, reduce monitoring burden, and enable proactive, cost-effective compliance with future PFAS standards. The aim of this research is to develop a mechanistic-driven multicomponent model to predict PFAS
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, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value chains. Education and competence building are central pillars of FAST. The centre
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application! How does AI transform how firms create value and compete? We are launching a new research project to explore how specialised AI models are reshaping the conditions for value creation and innovation
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into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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, infrastructure, environment, materials, and chemistry and process engineering. Join the Cluster of Excellence “BlueMat: Water-Driven Materials ” and contribute to one of Europe’s most exciting research initiatives
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15th March 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in AI-driven condition-based opportunistic maintenance
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and