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approaches, which cannot fully access the experiences, perceptions and behaviors of energy community members with smart energy technology interventions and related social dynamics. This PhD research project
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-Physical Systems (CCPS), such as smart grid and industrial robotics. The successful candidate will investigate advanced 6G communication and computing orchestration schemes to meet the end-to-end Quality
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on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter
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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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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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industry? The PhD candidate will pursue the following overall objectives: Contribute to the definition and vision of smart grid reliability Develop and evaluate modern methods for power system protection and
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industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is
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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by