16 phd-in-computational-mechanics PhD positions at Delft University of Technology (TU Delft); yesterday published in Netherlands
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description Join the Extreme Materials & Mechanics (X2M) Group at the Department of Materials Science and Engineering (MSE), TU Delft, in a cutting-edge PhD project that aims to revolutionize how stainless
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dynamics relevant courses at the department. Writing a PhD thesis, publishing in renowned computational journals, and presenting your research at international meetings. Job requirements We are looking
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flexible on-demand services, while considering the underlying travel behaviour. In the future, these mixed transportation systems may include a fleet autonomous cars, vans, and buses. This PhD position
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models. This PhD is ideally suited to a candidate who enjoys hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. We
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the hull. It must include internal room arrangements, machinery layouts, cargo compartments, superstructures, ect. All of which must comply with safety regulations, operational requirements, and stakeholder
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! Job description You'll be working in the Corrosion Technology and Electrochemistry (CTE) group, part of the Department of Materials Science and Engineering at the Faculty of Mechanical Engineering, in
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also collaborate with Allseas, who are developping an SMR for maritime applications. The aim of the project is to research and develop a high speed generator system that converts the mechanical power
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PhD in the Pavement Engineering section, where your project is part of a larger research program, KPE, that the section carries out together with the Dutch Organization for Applied Scientific Research
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, and thus the supply decisions, are based on users’ preferences. This PhD position within FlexMobility, will focus on the supply-demand interactions to guide the design of mixed fixed-flexible transport
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mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure