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Field
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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with around 32,000 employees, predominantly scientists and engineers. In Singapore, Fraunhofer operates two closely linked but legally independent entities: Fraunhofer@NTU (FSR@NTU) and Fraunhofer
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Universities and industry. At Surrey, we adopt an integrated approach that combines experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance
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About us The “Next-Gen Biopharma Manufacturing 5.0” Prosperity Partnership is a 5-year collaborative programme between UCL Biochemical Engineering and AstraZeneca, jointly funded by EPSRC and
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technology, environmental sensing, and artificial intelligence. The position contributes to a funded project supported by the William Penn Foundation, which aims to model and mitigate environmental burdens
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with renewable energy systems. The position will encompass modelling of Wind Turbine components, conducting Total Cost of Ownership (TCO) analysis of Wind Farms, and developing AI-driven predictive
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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process
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for a net-zero future. Key deliverables include performance evaluations, financial modelling, and the development of best practices leveraging emerging technologies like on-premise AI-driven analytics and