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predictive maintenance of ships and maritime systems. Modern vessels generate large amounts of heterogeneous operational data from sensors, machinery, control systems, maintenance records, and other sources
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drugs. These applications involve collaborative projects with industry partners (already funded) or academic partners. For these three examples, this metrological approach to sensor development involves a
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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
and refining their dynamic models through parameter identification on dedicated test benches, including external measurement systems (encoders, force sensors). The refined models will serve in
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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physics, particularly photodetectors or image sensors. Experience in at least one of the following: semiconductor processing, cleanroom fabrication, device modelling or TCAD, electrical characterisation
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in power electronics, electronic paakging and system integration, reliability, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure
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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor
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The project is about developing and applying TENG-based self-powered sensors or TENG-based energy harvesting methods for tribological applications. A sensor that produces its own power has a large role to play