12 numerica-optimization PhD positions at NTNU Norwegian University of Science and Technology in Norway
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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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aspects such as materials, process safety, sustainability and circularity, and employ innovative design approaches and modelling techniques such as optimization algorithms. Specifically, your study will
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emphasized delivering optimal value by balancing design, construction, and operational costs with environmental impact, aesthetics, and functionality. Making informed decisions throughout a project’s lifecycle
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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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, you will produce results for the project FUSE (Fusing AI and Ship Hydrodynamics for Next-Gen Voyage Optimization). Investigating the ship performance, correlations, and uncertainties using complex in
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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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using bacterial spores. The PhD candidate will work on genetically optimizing and manipulating the Gram-positive bacterium Bacillus subtilis to explore concepts of data storage in DNA. You will report to
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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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, and emotional responses, while promoting resilient and sustainable production systems. These methodologies will aim to enhance human-robot collaboration, optimize decision-making, and contribute
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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