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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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energy management, utilities or district‑energy operations, decarbonization planning, or large‑scale facilities management, with a demonstrated record of delivering measurable energy savings and greenhouse
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Laboratory brings together High Voltage testing, DC Grids environment, and large RTDS for real-time simulation of power systems, power electronics research facilities, and an e-mobility lab with focus
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electromechanics. The group is currently active in applications such as Direct Current distribution and transmission grids and microgrids, electrification of mobility (charging of electric vehicles), and integration
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well as international commitments to the UN Sustainable Development Goals, this PhD project aims to advance cutting-edge smart microgrid technologies by enhancing system flexibility and reliability, thereby making a
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within a Research Infrastructure? No Offer Description Job description The rapid growth of artificial intelligence (AI) is driving an unprecedented demand for large-scale AI data centers, creating new
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smart microgrid technologies by enhancing system flexibility and reliability, thereby making a significant contribution to the transition toward cleaner, more resilient, and sustainable energy
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with experimental platforms, fabrication, hardware systems, or large-scale physical infrastructure. • Experience with multi-physics modeling, simulation, or scientific computing. • Experience bridging
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Living labs and Testbeds which facilitate large-scale technology deployment enabling validation and demonstration of real-world applications. As a Research Engineer II at ERI@N, you will be
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will be affiliated with the Energy Systems Engineering Group. The position focuses on developing autonomous AI-based optimization and control methods for a multi-vector hybrid microgrid that supports