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the identification and development of data-driven models that can subsequently be used for system optimization. The project encompasses both algorithm design and experimental implementation. Close collaboration and
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student to join our dynamic and interdisciplinary research team in the Section of Construction Materials and Durability at DTU Sustain. Through advanced experimental work and modelling, you will help
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of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking the microstructure from the AM process to
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
, gases and applied potential conditions. The project will also include the development of advanced simulation models to characterize and predict moisture transport through gel substrate and interfacial
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method (measurement of energy stored) will be developed in the laboratory. You will work at the intersection of experimental testing, storage modelling, and energy system monitoring and control
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to maintenance Collect and analyze industrial case data in energy, manufacturing, or process sectors Develop conceptual and computational models linking operations and maintenance Validate frameworks in
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materials Development of simulation models for the electromagnetic wave interaction analysis Machine learning design of antennas and metasurfaces for interaction with lossy materials Research into practical
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-assisted writing, coding, and modeling altering notions of originality, authorship, and evaluation? Which new human-machine configurations emerge or become contested in STEM education? Transforming STEM
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opportunities to participate in professional and personal development training. Through your work you will gain a unique skill set at the interface between modelling and prototyping of electrode materials