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Field
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nitrogen content in the final steel in a cost-effective manner. Some high-quality steels demand good formability and toughness, along with good surface quality, which necessitates controlling nitrogen
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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mentality and interest for both fundamental and application-oriented research; an excellent command of spoken and written scientific English. What we offer At Maastricht University, you’ll work in an
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hands-on mentality and interest for both fundamental and application-oriented research; an excellent command of spoken and written scientific English. What we offer At Maastricht University, you’ll work
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individual and contextual factors predict successful knowledge transfer across virtual-virtual and/or virtual-real contexts. The outcome will contribute to new concepts and methods for studying spatial
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Explore trace element thermodynamics in high-temperature systems to control steel quality in the green transition—a PhD bridging experiments, modelling, and industrial impact. Job description The
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research teams, and participate in the center's core technology initiatives. We particularly welcome scholars with outstanding achievements in areas such as Industrial AI, Intelligent Control Systems, and
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration
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gel-like structure called the third phase. Third phase formation is, however, a processing disaster and must at all costs be avoided. An ability to predict and control third-phase formation is essential
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convection. Once the saturation point is reached, a boiling flow develops. Various flow regimes emerge depending on the control parameters. In Llo, the generated steam is used in a turbine to produce