Scientific direction Development of key enabling technologies
Transfer of knowledge to industry

PostDocs : selection by topics

Global offshore wind turbines monitoring using low cost devices and simplified deployment methods

DPLOIRE (CTReg)

Autre

01-10-2018

PsD-DRT-18-0115

anthony.mouraud@cea.fr

This project follows previous work focused on on-shore wind turbine instrumentation with inertial sensors networks whose dataflows allows the detection of vibration modes specific to the wind turbine components, in particular the mast and the real-time monitoring of these signals. The objectives of this project are manyfolds: to bring this work to offshore wind turbines; search for signatures in wider frequency bands; study the behavior of offshore platforms and their anchorages. One of the challenges is to find the signatures of rotating elements (blades) without direct instrumentation. Instrumentation of these elements is indeed more expensive and more impacting on the structure. In addition, the sensor technology will be suitable for monitoring the fatigue life cycle of moving wire structures (dynamic electrical connection cable and anchoring) in the case of an off-shore wind turbine. The ultimate goal is to propose a global method for offshore wind turbine health monitoring.

Shape optimization for optical computation

Département d'Optronique (LETI)

Laboratoire des Capteurs Optiques

01-01-2019

PsD-DRT-18-0119

alain.gliere@cea.fr

Context CEA - LETI is one of the Europe's leading research centers in microelectronics. This post-doctoral position is proposed within the framework of the CLEAR CARNOT project, involving two departments of CEA - LETI. Namely, the DOPT department specializes in the design, manufacture and characterization of optoelectronic components while the DACLE department performs research on embedded systems and innovative computational architectures. Research topic / Missions Although several extremely compact components performing more or less complex unitary functions have been designed and manufactured in recent years, no practical application of numerical shape optimization methods has emerged to date in the field of integrated photonics. Building on the recent development of optical computation, particularly in the wake of neural network and machine learning, we aim to demonstrate the feasibility (design, fabrication and test) and the applicative interest of integrated optical calculation circuits obtained by shape optimization techniques. The candidate will participate in the choice of the optical computation prototype architecture, and will be in charge of the photonic circuit design (conventional circuit, shape optimized circuit, and finally reconfigurable circuit). He/she will rely on an existing toolbox, dedicated to shape optimization of photonic components, developed as part of an ongoing work. The work should lead to theoretical developments as well as applications, with publications in international journals. Required skills Candidates will have completed a PhD in applied mathematics, mathematical physics or related fields. He/she should demonstrate both theoretical and computational skills. Implementations will be performed in the MATLAB language. Knowledge in shape optimization and an interest for photonics would be greatly appreciated.

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