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physics and thermal-hydraulics, or reactor simulation tools (e.g. RELAP, TRACE, or MOOSE) Knowledge of electrical power systems and power management, particularly in isolated or islanded grids Familiarity
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Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners but also with academics from
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. Peter Palensky (Chair IEPG). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer
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-powered aircraft structures. Job description How do aerospace materials deform and fail at temperatures approaching 20 K (-250 °C)? And how does their behaviour change under dynamic loading? In this PhD
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IEPG). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
grid disturbances, outages and high uncertainty. Optimizing battery system operation, including state-of-charge management, reliability, lifetime-aware operation and backup power availability. Building
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Investigation of charging strategies for multi-stakeholder systems considering technical, economic, and operational objectives Development and evaluation of Vehicle-to-Grid (V2G) and energy management concepts
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, simulation and analysis of coupled power and gas grids in Europe. The research project aims to develop advanced, cross-sectoral simulation frameworks that can be used to investigate the interaction between
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project and help shape the future of reliable, sustainable power electronics. Job description The successful candidate will conduct research within the EU-funded Moore4Power project on health monitoring and
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AI-Based Forecasting Models We invite applications for a PhD position focused on developing next-generation AI-based forecasting models to enhance renewable energy (RES) integration into power systems