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railway infrastructure, where repeated temperature fluctuations, moisture ingress, snow and ice, and high traffic demands accelerate degradation and increase maintenance needs. This PhD project will develop
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machine-learning models using large-scale aviation datasets. Analyse airport surface, runway, terminal airspace, and multi-airport system operations, including traffic-flow and delay-propagation mechanisms
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under varying traffic loads, material properties and climatic conditions. Particular emphasis will be placed on viscoelastic, viscoplastic and damage-based material behaviour, laboratory testing
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to be in conflict with the criteria in the latter act, will not be able to be employed. Equipment restricted by export licenses and ITAR (International Traffic in Arms Regulations) is being used in
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Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. Advertisement
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the Ofoten Line and new initiatives associated with the Arctic Test Arena project. Railway infrastructure in Arctic and Nordic regions is increasingly exposed to harsh weather, heavy traffic loads, climate
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information subject to export control regulations including, but not limited to, the Export Administration Regulations ("EAR") and/or International Traffic in Arms Regulations ("ITAR"). Accordingly, any hiring
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policy research and thought leadership. We are dedicated to address the needs of aviation stakeholders in general and Air Traffic Management (ATM) policy makers in particular to advance the development
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-source digital environments capable of emulating realistic scenarios of physical systems (power grid, railway and air traffic management) operation and human decision-making, enabling a direct assessment
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export control regulations including, but not limited to, the Export Administration Regulations ("EAR") and/or International Traffic in Arms Regulations ("ITAR"). Accordingly, any hiring decision may