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An Information Theoretic Approach to the Smart Grid School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Inaki Esnaola Application Deadline: Applications accepted all
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opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Research Fellow / Engineer (Building-Grid Interaction Design
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smart electrical grid that increasingly relies on the use of intermittent renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data
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programs in the area of grid modernization. Founded in 1881, UConn is a Land Grant and Sea Grant institution and member of the Space Grant Consortium. It is the state’s flagship institution of higher
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access in Sub-Saharan Africa. The role will focus on solar-powered mini-grids centred on productive uses of electricity, and explore how interconnected mini-grids can share energy resources and support the
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Project Abstract: This PhD project addresses strategic UK priorities in advanced power semiconductor technologies supporting net zero, electrification, and grid resilience. The research will focus
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Associate or Engineer II to support our
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Posting Summary Logo Posting Number RTF00029PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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configurations (residential, commercial, mixed-use) and their interactions with distribution grids Assessing how renewable integration, storage technologies, and demand flexibility affect system performance