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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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science, industrial engineering, or a comparable field (Master’s degree) Knowledge of modeling, optimization, and data analysis of energy systems Interest in electricity markets, energy system analysis, and model-based
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will play a key role in strengthening and expanding the group’s computational capabilities for the simulation, analysis, and optimization of advanced thermal energy systems and processes. This includes
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engineering, or a comparable field (Master’s degree) Knowledge of modeling, optimization, and data analysis of energy systems Interest in electricity markets, energy system analysis, and model-based studies
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, energy systems, and the energy transition Solid understanding of electricity market mechanisms Proven experience in energy system modeling and optimization methods Strong programming and data analysis
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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https://www.ntu.edu.sg/erian This Candidate will be working on a renewable project to support projects on energy storage sizing, integrating distributed energy resources, renewables, and other advanced
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, allowing timely corrective actions to be implemented. Furthermore, such models shall support the optimization of processes from an energy efficiency perspective. Where to apply Website https
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tasks include: Development and optimization of interfaces and APIs for the integration of heterogeneous energy system data Implementation and maintenance of automated data processing and transformation
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological