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., heat flux methods, temperature/humidity sensors, climatic chambers). A solid command of digital tools for multiphysics simulation and modeling—particularly using software such as COMSOL Multiphysics—will
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) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
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initiatives, the French Mineral Resources Inventory, and European research projects on new quantum gravimetric sensors. In these projects, as well as in future initiatives, you will be involved from
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topological textures. A wide range of applied functionalities could be considered: terahertz sources, unconventional computing and AI, security components, telecommunications, sensors, memories etc.
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a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, becoming a key component for managing smart cities. Except for a few applications, DAS data are typically
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. SequoIA focuses on urban monitoring using Distributed Acoustic Sensing, a technique that repurposes existing telecom optical fibers as continuous, high-resolution seismo-acoustic sensors. This passive and
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detection, to cite a few. As telecom fibers are ubiquitous in urban environments, DAS appears as a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, and a key component
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complicates both learning and inference processes. Another challenge is that dynamic structured data are generated by a variety of sensors and infrastructures that continuously produce, disseminate, and store
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, sensor failures, or the aggregation of datasets from multiple sources. There is a rich literature on how to impute missing values, for example, considering the EM algorithm [Dempster et al., 1977], low
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to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore