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

PhD : selection by topics

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Mmwave multi-static scattering model for imaging and radar application

Département Systèmes (LETI)

Laboratoire Antennes, Propagation, Couplage Inductif

01-09-2021

SL-DRT-21-0895

raffaele.derrico@cea.fr

Communication networks, IOT, radiofrequencies and antennas (.pdf)

This PhD program is proposed within the framework of CEA-LETI's R&D activities in the field of wireless and radar transmission technologies using millimeter waves. These technologies, already used in automotive radar applications and envisaged in a future deployment of 5G, exploit very wide bands. In the long term, the convergence between communication and radar (RADCOM) will make it possible to envisage new applications of precise imagery, reconstruction and "sensing" of the environment. The use of multi-antenna millimeter wave technologies, compacted in a reduced volume, will allow new capabilities in terms of temporal precision and angular resolution. However, the development of these new approaches requires a precise knowledge of the targets backscattering seen by the different antennas. In particular, in short-range applications, the concept of Radar Cross Section (RCS) could be no longer applicable and may require near-field modeling. The objective of this thesis is to develop a millimeter wave backscattering model of objects for proximity radar and multi-sensor imaging applications. The study will begin with a state of the art concerning multi-antenna radar systems and the implementation of a (simplified) propagation model. Then, the PhD student will develop a test bench dedicated to characterization. It will provide composite reflectivity models for different objects and for the human body. This modelling could be eventually based on a point cloud representation that will be combined with artificial intelligence (AI) approaches. The PhD student will be part of the Antenna, Propagation and Inductive Coupling Laboratory at CEA-LETI, in Grenoble (France). He/she will benefit of the state of the art facilities (channel sounders, emulator, OTA setup, and electromagnetic simulator). Application: The position is open to outstanding students with Master of Science, ?école d'ingénieur? or equivalent. The student should have specialization in the field of telecommunications, radar, microwave and/or signal processing. The application must necessarily include a CV, cover letter and grades for the last two years of study.

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Ultra Low Power and High Performance Microphone Signal Processing for Speaker Localization and Auditory Attention Detection : Application to Next Generation Hearing Aids

Département Systèmes (LETI)

Laboratoire Signaux et Systèmes de Capteurs

01-10-2021

SL-DRT-21-0898

vincent.heiries@cea.fr

Artificial intelligence & Data intelligence (.pdf)

Located on the MINATEC campus in Grenoble, CEA-Leti's main mission is to create innovation and transfer it to industry by generating research results that will be used in industry in the medium and long term, positioning its research between academic research and industrial R&D. Within LETI Systems Department, the mission of the Sensor Systems and Electronics Service is to design and produce innovative systems to meet the needs of industrial innovation in a wide range of fields, from the automotive industry to sports and the building industry. The skills involved range from electronics to physics, electromagnetism, magnetostatics, signal processing and applied mathematics. Hearing loss is a major public health problem, affecting about 10% of the world's population. This handicap has a strong impact on the comfort of patients who suffer from it, in many aspects of their lives. Furthermore, with increased stimulation of our hearing system over long periods of time through various digital uses, the trend of increasing prevalence of hearing loss is clearly on the rise. Many forms of hearing loss can be treated through the use of hearing aids that significantly improve the lives of millions of people with hearing loss around the world. These hearing aids have benefited from considerable efforts to improve the underlying technologies in recent years, and today offer very high performance in terms of audio signal quality, amplification, noise filtering, compactness, and autonomy. However, these devices still have several limitations. In particular, in certain sound environments, the separation between the useful signal to be amplified and the interfering acoustic signals to be filtered remains a challenge. In this study, we propose to focus on the Cocktail Party Problem. The Cocktail Party Problem (CPP), is a psychoacoustic phenomenon that refers to the remarkable human ability to listen and selectively recognize an auditory source in a noisy environment, where the overlapping auditory interference is produced by competing speech sounds or a variety of noises that are often assumed to be independent of each other. The resolution of this type of problem, also called Auditory Attention Detection, represents a major problem for which few solutions have yet been found and which is currently the subject of intense research. This PhD thesis, which is part of the "Cyber-Physical Systems" and "Edge AI" roadmap of the Systems Department of CEA-LETI (Grenoble), will aim to make a major contribution to this Auditory Attention Detection theme, for the automatic recognition of the speaker by future generation hearing aids. The thesis will be based on advanced technological solutions using embedded artificial intelligence (Edge AI). We will address the problem through a multi-sensor data fusion approach (acoustic, inertial, video sensors). Indeed, we will consider coupling a processing of acoustic voice signals thanks to high performance microphones with a video processing of faces to realize a vocal activity detection of the speaker (automatic lip reading). The sensor data will be processed and coupled by adapted artificial intelligence algorithms. It is also envisaged to use several microphones to perform acoustic beamforming processing, and to possibly hybridize with inertial sensors to reinforce the localization estimation of the speaker. The validation of the implemented methods and the developed algorithms will be realized thanks to test campaigns in instrumented acoustic chamber (high performance microphone, video captures, etc...). Keywords: hearing aid, audio signal processing, artificial intelligence, sensor fusion, cocktail party problem, auditory attention detection

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Study and application of a FBG-based neutron/gamma dosimetry in severe radiative environment, extension to monitoring within the RJH experimental reactor

Département Métrologie Instrumentation et Information (LIST)

Laboratoire Capteurs Fibres Optiques

01-10-2021

SL-DRT-21-0904

sylvain.magne@cea.fr

Factory of the future incl. robotics and non destructive testing (.pdf)

In-core and ex-core temperature and fluence cartographies are essential data for online monitoring of operational/incidental conditions of power and experimental reactors. High fluence level and gradients combined with lack of available space and access strongly limit the deployment of in-core sensing devices. The phenomena of Radiation-Induced Attenuation (RIA) in phosphosilicate fibers is already applied to distributed dosimetry (using FBG or OFDR monitoring techniques) at temperature lower than 70°C and dose lower than some kGy. For higher temperatures (e.g. 300°C, PWR), the RIA strongly depends on both time and temperature through the recovery process. Therefore, in-core RIA-based dosimetry is still challenging and no proof-of-concept is yet established. Industry already makes large use of Fibre Bragg Gratings (FBG, wavelength-multiplexed sensors) for temperature sensing. FBGs have also great potential for dose/fluence monitoring considering the Bragg Wavelength Shift (BWS) related to the radiation-induced change of the mean refractive index of silica. The work plan for the doctoral period will consist in designing a distributed gamma/neutron dosimeter based on a dedicated multicore fibre and testing it in several radiative environments. Reliable temperature compensation will be achieved by photowriting several FBGs in each core along the same fibre section, even in presence of high dose gradients. Furthermore, each core would exhibit complementary radiosensitivity in order to discriminate several radiation contributions. This photo-inscription scheme will be reproduced at several locations along the fibre to achieve a distributed dosimetry. This design will provide a distributed temperature monitoring as well, corrected for radiative influence. The candidate will work in collaboration with laboratory engineers in charge of femtosecond laser FBG photowriting. He will be supported by two scientific collaborations between CEA and two French universities, first the PhLAM lab. (University of Lille) dealing with special preform manufacturing, fiber drawing and characterization, and second the LabHC (University of Saint-Etienne), expert in radiative phenomena in fibres. Finally, this study is supported by the INSNU project of the CEA (DES/DPE/GEN23) that provides the technical framework and access to radiative facilities, partly through agreements with foreign institutes. The LDCI lab of the CEA (DES/IRESNE/DER/SPESI) will also participate into irradiation setups. Radiation tests on X-ray generator (LabHC) and within reactors (CEA/CABRI, JSI/TRIGA, SCK/BR2) are also planned.

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Development of biosensors for early detection of pest insects using pheromone receptor-based olfactory sensors

Département Métrologie Instrumentation et Information (LIST)

Laboratoire Capteurs Diamants

01-10-2021

SL-DRT-21-0912

emmanuel.scorsone@cea.fr

Health and environment technologies, medical devices (.pdf)

This work will be carried out within the framework of the Priority Research Program "Cultivate and Protect Otherwise" project PPRCPA-PheroSensor (Early detection of insect pests using olfactory sensors using pheromonal receptors). This project, which will start in April 2021 for a duration of 5 years, is led by INRAE-UMR 1392 iEES in collaboration with INRAE-UR 1404 MaiAGE, CNRS-LORIA, ESIEE-Paris Université Gustave Eiffel, EGCE?IRD and CEA-LIST. Insects (in)directly destroy 1/3 of the world's annual harvests. Climate change and increased trade make the early detection of invasive insect pests a major challenge for optimal action before infestation. Insects use specific pheromones to attract congeners of the other sex (sex pheromones, e.g. moths) or both sexes (aggregation pheromones, e.g. weevils). These compounds are used to lure insects into traps, with the number of captures indicating population levels. This monitoring method has drawbacks: it requires frequent human intervention (counting / identification of catches) and an attractive pheromone diffusion, which is sometimes difficult to maintain. Detecting insect pheromones is an alternative for insect monitoring, but a challenge due to the low amounts emitted. PheroSensor will go beyond the most advanced odor detection technologies by developing innovative bio-inspired sensors to detect harmful insects.

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Mmwave OTA testing based on field synthesis for 5G/6G systems

Département Systèmes (LETI)

Laboratoire Antennes, Propagation, Couplage Inductif

01-09-2021

SL-DRT-21-0942

raffaele.derrico@cea.fr

Communication networks, IOT, radiofrequencies and antennas (.pdf)

This PhD program is proposed within the framework of CEA-LETI's R&D activities in the field of wireless transmission technologies and 5G / 6G systems using millimeter waves. In these networks a large number of antennas will be used in order to increase the datarate and be able to serve a large number of users. The radio system performance will depend on both R&D choices and deployment conditions. The objective of this thesis is to propose Over-the-Air (OTA) test methodologies in a controlled environment, which makes it possible to reproduce realistic propagation conditions and thus be able to evaluate the performance of future communications systems, without carrying out long environmental measurement campaigns. real. To this purpose, a methodology based on fading emulator combined with intelligent surfaces is considered to reproduce the multi-path channel. The study will begin with a state-of-the-art model of the 5G propagation channel and OTA methodologies. Then the PhD student will propose a theoretical modeling of the testbed based on an analysis of spherical modes and an optimization for planar wave synthesis. Then an experimental implementation of the proposed methodology will be realized. The PhD student will be part of the Antenna, Propagation and Inductive Coupling Laboratory at CEA-LETI, in Grenoble (France). He/she will benefit of the state of the art facilities (channel sounders, emulator, OTA setup, and electromagnetic simulator). Application: The position is open to outstanding students with Master of Science, ?école d'ingénieur? or equivalent. The student should have specialization in the field of telecommunications, radar, microwave and/or signal processing. The application must necessarily include a CV, cover letter and grades for the last two years of study.

Download the offer (.zip)

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