10 advance-structure-modeling Postdoctoral positions at Delft University of Technology (TU Delft)
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. Within this position, you will advance the development of vibration-based structural health monitoring (SHM) system for large movable hydraulic structures. The work will primarily address the fluid
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, metamaterials, and/or soil–structure interaction, and proven skills in experimental design and testing as well as numerical modelling (e.g., FEM). Experience with railway dynamics, soil mechanics, or nonlinear
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for offshore renewable energy applications. The group specializes in computational modeling of fluid-structure interactions, wave-structure interaction and mooring systems for offshore renewable energies. You
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imaging cameras in advanced silicon technologies. Your work will push the boundaries of high-frequency sensing and integrated EM design. Job description In the Tera-Hertz Sensing (TS) Group at TU Delft, you
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applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC) incorporating mineralized SCMs. The research will focus on: Modeling long-term
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regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies. Job description Despite significant progress in flood risk management
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in Center of Excellence in AI for Structures, Prognostics & Health Management within the Faculty of Aerospace Engineering at TU Delft. The group advances AI-based SHM, prognostics and health management
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft in advancing the understanding of materials ageing
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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R