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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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transient industrial processes. Advanced dynamic models will be developed to simulate system performance, optimize control strategies, and evaluate system response under realistic operating scenarios
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will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance
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well as strategies for improving performance by optimization of composition, microstructure, and the interface to the proton-conducting electrolyte. The content of the PhD Research Fellowship can be tailored according
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physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data
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range of methodological approaches is relevant for the theme, including qualitative case studies, optimization models, system dynamics modelling, and agent-based modelling. Please note that the project
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and targeted, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across