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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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1st August 2025 Languages English Norsk Bokmål English English Molde University College announces PhD scholarship in Logistics focusing on Optimization and assessment of carbon capture Apply
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be utilized to optimize the human comfort in combination with energy efficiency. The first part of the PhD will be the optimization of a web application used to control a smart floor of a building. The
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criteria Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic systems, optimization techniques, and/or machine learning. Experience with
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, enabling multi-vessel charging and scalable maritime electrification. Advanced control strategies and data-driven optimization methods will be considered to enhance the efficiency, sustainability, and
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and research, in and outside academia. About the project The proposed research aims to optimize the design of timber building systems with innovative connections and achieve an extended service-life
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underground conditions. Apply machine learning and AI techniques to enhance model accuracy and optimize design parameters. Contribute to the development of a comprehensive, AI-based design methodology for LUS
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well as on how different user groups experience and utilize these solutions. Are optimal solutions being chosen today? Are the solutions being used as expected by the user groups they are intended to serve? Is the
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fuel cells with the vessel’s onboard DC distribution grid (1-1.5 kV or even MV) require power electronics, which enable power and voltage control. Designing high-efficiency and low-footprint power
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and PhD students conducting cutting-edge research on energy policy incubators—collaboratively develop scenarios, optimize policy outcomes and public acceptance. Are you motivated to take a step towards