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26 Apr 2024 Job Information Organisation/Company University of Stavanger Department Department of Electrical Engineering and Computer Science Research Field Computer science » Computer systems
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the Norwegian continental shelf. On this system, the postdoctor will apply existent or develop new Machine Learning models for the interpretation of seismic and well data, and reservoir characterization
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lack of data is easing. Hence, Artificial Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement
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Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement proactive operational measures such as activation
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machine learning approaches to extract correlations from data first, and causal analysis after to extract causation. The position is funded by the NCS2030 centre. Qualification requirements You must have a
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fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations
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/data assimilation/machine learning methods/data-driven modelling/stochastic models Programming skills and high-performance computing and parallel programming Emphasis is also placed on your: motivation
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/data assimilation/machine learning methods/data-driven modelling/stochastic models Programming skills and high-performance computing and parallel programming Emphasis is also placed on your: motivation
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data