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The doctoral researcher will be working under the supervision of Professor Picard. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of Quantitative Urban and/or
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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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general, with other LIST units requiring expertise in the Frugal AI field. The SWRDI team specializes in the design and development of smart (i.e. AI-enhanced) software systems. We believe energy concerns
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is to research, develop and improve the understanding and performance of processes enabling the utilization of space resources with an initial focus on the Moon. To find out more about ESRIC activities
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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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for Digitalization. This project aims to advance privacy-preserving techniques for data analysis and task automation, ensuring robust protection of sensitive information. The focus will be on developing
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group
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: Research and testing facilities, Business support and incubation, and Community management. The primary objective of ESRIC is to research, develop and improve the understanding and performance of processes
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their products to offer the optimal subjective and objective experiences to their customers. This PhD will focus on improving this understanding, identifying critical parameters and developing test approaches
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experiences to their customers. This PhD will focus on improving this understanding, identifying critical parameters and developing test approaches to address this gap. The candidate will be expected to lead