You will work within the Electric Aviation Network (EAN) project, which aims to develop decision support tools for electric aircraft network development. This includes demand modeling and market analysis, considering different types of aircraft; electric, conventional and hybrid, as well as other means of transportation. Furthermore, investment models for airports will be constructed, giving information about e.g. where charging infrastructure is needed, and how else airports need to prepare for electric aircraft traffic. Models for network planning will be developed, considering airports that today to do serve commercial traffic, and considering charging time constraints and charging prerequisites. Also, joint planning of flights between airports and more flexible unmanned eVTOL flights will be considered, as well as how these two new types of aircraft will affect the conventional air traffic management and the upcoming U-space (the unmanned traffic management system)
Requirements:
By the time for the employment you have been awarded a second-cycle degree in Industrial Engineering and Management, Transport Systems, Computer Science, Mechanical Engineering, or similar, or completed courses of at least 240 credits, of which at least 60 credits at second-cycle level in equivalent subjects, or in some other way acquired substantially equivalent knowledge. It is meritorious if you have earlier knowledge in mathematical modelling, optimization, operations research, simulation, economic analysis and statistics and programming, as well as work within aviation and air transportation, in particular electric aviation and urban air mobility
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PhD student in quantitative logistics with focus on electric aviation You will work within the Electric Aviation Network (EAN) project, which aims to develop decision support tools for electric aircraft network development. This includes demand modeling and market analysis, considering different types of aircraft; electric, conventional and hybrid, as well as other means of transportation. Furthermore, investment models for airports will be constructed, giving information about e.g. where charging infrastructure is needed, and how else airports need to prepare for electric aircraft traffic. Models for network planning will be developed, considering airports that today to do serve commercial traffic, and considering charging time constraints and charging prerequisites. Also, joint planning of flights between airports and more flexible unmanned eVTOL flights will be considered, as well as how these two new types of aircraft will affect the conventional air traffic management and the upcoming U-space (the unmanned traffic management system) By the time for the employment you have been awarded a second-cycle degree in Industrial Engineering and Management, Transport Systems, Computer Science, Mechanical Engineering, or similar, or completed courses of at least 240 credits, of which at least 60 credits at second-cycle level in equivalent subjects, or in some other way acquired substantially equivalent knowledge. It is meritorious if you have earlier knowledge in mathematical modelling, optimization, operations research, simulation, economic analysis and statistics and programming, as well as work within aviation and air transportation, in particular electric aviation and urban air mobility
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