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Field
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Organizational Unit: Clean Energy Innovation Classification: RO Tenure: Term Duration: Until 31 March 2029 Language Requirements: English Work arrangements: Due to the nature of the work and operational
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(100%) doctoral scholarship holder in the field of thermal energy system optimization. Position You will actively work on the preparation and defence of a PhD thesis in the field of thermal energy system
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) has vacancy for a PhD fellowship in Predictive AI-Based Maintenance and Optimization of Building Energy Management Systems. aiD is one of the new Norwegian AI research initiatives, funded by
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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sought-after partner in both academic and public-sector collaboration. The research focus includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and
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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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consumption while maintaining high performance. Through innovative circuit design and technology optimization, the project aims to contribute to the next generation of energy-efficient and cost-effective
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University and involves close collaboration with Landsnet, Landsvirkjun, and international partners. The candidate will work at the intersection of power systems, energy modeling, optimization, and sustainable
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system