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environment. The SolKit project entails overcoming barriers linked to Norwegian conditions while addressing societal needs, economic goals and sustainability challenges. Furthermore, SolKit aims to develop
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exacerbated by the occurrence of severe weather conditions, which have already been predicted to increase in the future across Norway. Addressing the challenges of emerging contaminants requires a paradigm
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prone to change and decline. One project component analyses and models the effects of climate-induced cryospheric changes on water flows. The other project component, to which you will contribute
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop
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energy-efficient buildings Methods and models for energy demand calculation of buildings and/or neighbourhoods Methods and models for environmental life cycle assessment of buildings and/or neighbourhoods
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leader will be the Head of Department. About the project Modern control systems rely on being at least partially predictive while digital twins also must maintain a state model of the targeted cyber
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other are developing regulations that provides both incentives and constraints for the energy transition and emission reduction. The research objective of the PhD is to develop models that captures
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, and entrepreneurship. Doctoral Candidates will gain transferable skills and learn from industry role models, equipping them to make significant contributions to solving the AMR crisis. The succsesssful
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, compared with state-of-the-art rule-based methods as baselines. Design of control barrier functions (CBFs) considered for safeguarding control setpoints. Dynamic programming and model-predictive control
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participate in the planning and running of experiments and be in charge of analyzing data from experiments, as well as performing modeling work of the phenomenon. The candidate will collaborate closely with