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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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from noise correlations at different scales in order to obtain a comprehensive understanding of the lithospheric structure of the FMC. Data from the main MACIV network and the three profiles will be used
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scientific problems involve complex physical phenomena that are difficult—and sometimes impossible—to reproduce experimentally. Moreover, experimental campaigns are often costly in time, resources, and
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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. More specifically, the doctoral program has four different specialization tracks: - Complex Systems and Networks (CN) - Computational Mechanics (CM) - Learning and Control (LC) - Software Quality (SQ
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within materials science and engineering. Use cases will be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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, reliability, and availability of complex industrial systems while making maintenance strategies more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance