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. We offer a dynamic environment where theory meets real-world application, and where your work can contribute to the development of the next generation of smart energy systems. About us The Division of
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, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and
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teaching positions. We are looking for part-time instructors in all areas of Electrical and Electronic Engineering including (but not limited to): Renewable Energy Systems, Smart Power Grids and Energy
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. The result is a challenging and inspiring setting in which socially relevant issues are addressed. Where to apply Website https://www.academictransfer.com/en/jobs/356811/phd-on-highly-robust-high-power
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infrastructures.The research of these PhD positions will be conducted as part of the EU funded SPICE (Smart Data Pipelines for the Cognitive Compute Continuum) project. Our PhD students are given the opportunity
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will be conducted as part of the EU funded SPICE (Smart Data Pipelines for the Cognitive Compute Continuum) project. Our PhD students are given the opportunity to work with some of the most advanced
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advanced motion control. Faculty research includes:•Electric Power & Energy Systems, renewable energy integration, smart grids, and microgrids•Power electronics with wide-bandgap semiconductor devices
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for Vehicle-to-Grid Solutions. Job description We are looking for a passionate postdoctoral researcher to join us for the Shift2Sustain project on evaluating and supporting Vehicle-to-Grid (V2G) solutions in
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communication capabilities for real-time monitoring of critical infrastructure. A key application area will be smart grid powerline monitoring, where you will work on: Designing and leading the development of low
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turning point: decarbonization and independence of foreign fossil fuel are new requirements that drive the development towards a more distributed architecture, stochastic renewable generation units, smart