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sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies
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energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy sources. Such modelling provides essential tools for designing low-carbon
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new data-driven hierarchical models. The main novelty is to represent vertically varying velocity profiles using an extended set of equations, resulting in so-called moment models. The whole project
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platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality
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advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality diagnostics on the printed parts. The PhD project is
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Large Language Models (LLMs) has created significant opportunities but has also raised concerns about the trustworthiness of AI outcomes. Explainability, accountability, autonomy, and robustness
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, the PhD candidate will 1)establish an ultrasonic vibration testing platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear
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Auditing and Evaluating Human-Centred AI (1.0 FTE) Job description The ubiquitous availability of AI and Large Language Models (LLMs) has created significant opportunities but has also raised concerns about