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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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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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for optimal operation of smart low voltage grids with high penetration of distributed energy resources · Producing quality research outputs (e.g., scientific papers, software, reports, project
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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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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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energy system that is clean, reliable, and resilient to the challenges of the future. Due to its high-cost, green hydrogen currently constitutes less than 0.1 % of the total hydrogen produced and strong
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Application Deadline 24 Feb 2026 - 01:22 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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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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12 Feb 2025 Job Information Organisation/Company LIST - Luxembourg Institute of Science and Technology Research Field Computer science Researcher Profile Leading Researcher (R4) Established
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of Directors, aims to expand LIST's AI capabilities and maximise the impact of AI innovation both within LIST (AI applied to scientific research in all LIST RDI units and AI applied to improve the performance