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16th November 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in Advances in Hydropower Inflow Forecasting Apply
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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experimental data from hydrodynamic labs for validation purposes. Apply the AI models to develop an AI-based decision support framework for operability assessment for ships in planned voyages under forecasted
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data from hydrodynamic labs for validation purposes. Apply the AI models to develop an AI-based decision support framework for operability assessment for ships in planned voyages under forecasted
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forecasting particularly critical. Improved interoperability will allow operators to anticipate fluctuations better and coordinate responses across the energy system. Electricity's scarcity and regulation
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transition. First, interoperability is key in the energy transition, requiring further integration of existing control and optimization systems. This transition makes energy forecasting particularly critical
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Norway) in Bergen, Norway. The Norwegian Meteorological Institute (MET Norway) is a leading international forecast and research institution with expertise in operational meteorology, oceanography, and