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Field
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Building engineer or Environmental Science, Planning, Engineering, computer science, innovation science or related fields with demonstrable experience in spatial analysis and numerical modelling
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-driven, and can work both independently and within a team. Applicants should hold an MSc degree in Earth Sciences, Civil or Hydraulic Engineering, or a related discipline by the time the position starts
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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19th December 2025 Languages English English English The Department of Marine Technology has a 3-year vacancy for a PhD Candidate in AI-driven ship design Apply for this job See advertisement
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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this impact; You have experience and/or willing to learn quantitative modelling, risk assessment, and ESG evaluation; Experience with data-driven decision-making tools and frameworks is an asset; Proficiency in
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioral, Management and Social Sciences
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, etc.), and data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by
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programme aims to advance fundamental understanding of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key