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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and processing data streams, with theories and methods for planning and
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for the position. Preferred selection criteria Solid understanding of control theory, including classical and modern control design methods Experience with modelling and simulation of dynamic systems Programming
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and other tools for urban analytics and informatics. Familiarity with AI-based modelling or engineering with urban applications. Knowledge of social justice theories and frameworks, including
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, recommender systems, optimization of industrial problems, game theory, agile software development processes, computer languages, computer science education, management of software development projects
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statistical learning theory and probabilistic models; prior exposure to notions of robustness, resilience, or uncertainty quantification is an advantage. Mathematical maturity and experience with formal
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materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical
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also collaborating with international researchers. The PhD candidate reports to the Deputy Head of Research at the Department of Psychology. Duties of the position Reviewing relevant theory and research