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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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program at the University of Luxembourg•Work location: Belval (Luxembourg)•Deadline: 30th June 2025Project description INSPIRATIONAir pollution is continuing to rise. It harms human health, crops and
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: · Developing mathematical optimization approach and tool for optimal operation of smart low voltage grids with high penetration of distributed energy resources · Producing quality research outputs (e.g
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expertise in 5G/6G, edge computing, and intelligent networking to strengthen our activities in next-generation connectivity and distributed intelligence. The role involves driving new research initiatives
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11 Feb 2025 Job Information Organisation/Company Luxembourg Institute of Science of Technology Research Field Computer science Engineering Technology Researcher Profile Recognised Researcher (R2
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) Country Luxembourg Application Deadline 30 Apr 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 hours/week Is the job funded through the EU Research Framework Programme