8 combinatorial-optimization positions at NTNU Norwegian University of Science and Technology
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optimal configurations, dimensions, and mooring systems through the development of efficient analysis tools and application of numerical optimization techniques. Are you motivated to take a step towards a
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framework that integrates advanced optimization techniques, such as risk-informed decision-making and parametric design, with data from reclaimed structural components. The objective is to enable resource
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graphs Workload-aware self-optimizing graph database systems or other interesting topics in the area of graph database systems more or less related to the aforementioned ones. The work will be performed in
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powders via atomisation technique, focusing on the incorporation of various dopants and increased Si content to optimize its performance in 3D printing applications. The aim is to understand how different
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optimization; and coordinated operation between various renewable energy technologies. The incorporation of digitalization technologies and methods into research, such as AI, is also desired. NTNU’s laboratories
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ventilation of the compartment. It will include collaboration and participation in experimental work. Close collaboration and communication with relevant actors in the FRIC network will help to optimize
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the environmental impact of hydro power plants in sediment laden rivers. This will be achieved by optimizing turbine designs to better manage high sediment loads and large sediment sizes, as
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for Energy Technology, IFE). Duties of the position Carry out research of high quality within the scope described above. Develop mathematical models and computer code for optimization and simulation of energy