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flow modelling and simulations Responsibilities and qualifications The nature of these projects suggests that you should have a strong interest in interdisciplinary research, including coupled physical
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solid background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica
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consist of the following: Numerical simulation of multimode Raman interaction Mode excitation in optical fibers Characterize the modal purity of a multimode Raman amplifier Develop and implement spatial
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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of corrosion at the interface between metals (e.g., Ni) and molten salts (FLiNaK). These systems are gaining interest for their potential in molten salt nuclear reactors. You will combine atomistic simulations
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or passive components into organic substrates; has experiences in magnetic components design, optimization and integration; is familiar with the simulation tools such as Ansys (Maxwell, Q3D, Icepak), LTSpice
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mechanisms that dynamically alter the detrapping and recombination probabilities. The aim of this project is to overcome these limitations by developing a Monte Carlo simulation model that treats each charge
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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qualifications include experience in one or more of the following areas: Indoor air quality measurements and analysis Synthesis and characterization of smart materials Numerical simulations (e.g., Computational