33 postdoc-smart-grid scholarships at Eindhoven University of Technology in Netherlands
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packages. One of the four main research tracks (RTs) of AISO is as follows: RT4: Grid-edge optimal solutions Along with the new generation of smart meters and the emerging development of virtual grid concept
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of smart meters and the emerging development of virtual grid concept, there is a clear trend for system operation to push intelligence towards the edge devices. To this end, within this research track
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and power electronics in the Netherlands. The research is aligned with the three main strategic research themes of Eindhoven University of Technology, i.e. Energy, Health and Smart Mobility. This PhD
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within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) seeks to hire an outstanding PhD candidate or Postdoc within the field of high-voltage pulsed power research
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We are seeking a highly motivated PhD student who is interested in pursuing research at the interface of control systems and optimization for smart grid technologies. Irène Curie Fellowship
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Disruptive innovations are needed in managing and operating distribution grids. Are you our next PhD researchers in exploring disruptive innovations in managing and operating distribution grids
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Disruptive innovations are needed in managing and operating distribution grids. Are you our next PhD researchers in exploring disruptive innovations in managing and operating distribution grids
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Disruptive innovations are needed in managing and operating distribution grids. Are you our next PhD researchers in exploring disruptive innovations in managing and operating distribution grids
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Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7502 Job description The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group
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Offer Description Position PhD-student Irène Curie Fellowship No Department(s) Electrical Engineering FTE 1,0 Date off 23/06/2024 Reference number V36.7486 Job description The smart optical networks lab