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- progetto FLINT, CUP B69J25001080005
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Field
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protection of complex, non-transportation interdependent civil infrastructure networks. We seek candidates with particular interests in water distribution systems and networks. Core Responsibilities The
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. The role spans the entire research pipeline – from processing spatio-spectral-temporal UAV imagery to model development, algorithm validation and deployment, including contributions to a QGIS forest
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of the CEFE in community ecology and species distribution models with that of IMAG in probability, statistical learning, and model validation. This project falls within the scope of statistical artificial
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research project on the optimal energy storage control under distribution system constraints. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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will work closely with interdisciplinary researchers and engineers to develop novel AI algorithms, publish in top-tier venues, and translate research innovations into real-world sustainability solutions
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implementation novel machine learning and large language model (LLM) algorithms for Green AI applications. Support the research of efficient AI techniques, including model optimization, parameter-efficient fine
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causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be
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systems. Specifically, the research will propose an integrated framework that will couple two core components: 1) advanced algorithms to optimise participation of HPPs, or more generally of VPPs integrating
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estimation, confidence calibration, model routing, token selection, early exiting, adaptive visual processing, and efficient use of multiple foundation models. The work will combine algorithm development with
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, or distributed swarm algorithms would be advantageous. Experience Experience integrating sensing, localisation, navigation, communication, control, and decision-making components within a robotics or autonomous