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PhD Research Fellow in “Optimizing hydroelectric operations using predictive maintenance under data uncertainty” from August 18, 2025. This position is associated with the FME RenewHydro center
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. Experimental work could include the design, construction, and testing of prototype storage systems, while simulation efforts may focus on thermal modelling, system optimization, and safety analysis
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code compilation, which offer a modular approach to domain-specific optimizations. Your project is expected to contribute to cutting-edge research initiatives leveraging, analyzing, and exploiting
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-hjem" discounted public transport to and from work as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a
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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
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access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced relocation programme
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semiconductors for interconnecting batteries and fuel cells with the vessel’s onboard DC distribution grid. A particular focus of the project will be on delivering optimized converter designs in terms of voltage
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state-of-the-art data storage and research infrastructure, hosted at the Services for sensitive data . The PhD fellow will work with large scale analytical tools to optimize our ability to use genetics
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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of this sustainability-oriented project is to develop a better understanding of the fundamental fluid mechanics involved as droplets flow on and through fog nets, aiming to create new designs that optimize water yield