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

PhD : selection by topics

integrated electronic interface for optomecanical sensors

Département Architectures Conception et Logiciels Embarqués (LIST-LETI)

01-09-2018

SL-DRT-18-0534

gerard.billiot@cea.fr

The aim of this thesis to contribute to development of a new generation of sensors by study the electronic interfaces that allow the correct use of those sensors. The work will consist to study the system architecture, its integration on silicon and its characterization after fabrication and in a first application example. Within LETI, a new generation of sensors is under study: the optomechanical sensors. Their high levels of performances in terms of sensitivity, of stimulation modes as well parallel actuations of several sensors seems very promising. These results allow a broad range of potential usages for chemical sensors, physical sensors, mass sensors, ? However, development of the use of such sensors need the realization of an electronic adapted to such sensors that outperform the setup actually used to characterize these sensors. So, it is needed to understand those sensors, to do a behavioral model for them, to develop one or more architecture that can be integrated on silicon technologies to excite and sense simultaneously several sensors in an efficient way and getting the best of their performances. The phd candidate needs to have good knowledge of electronic in analog and digital fields. A good understanding of signal processing and in technologies used for sensors will be positive points. This phd work will last 3 years and will be done in LGECA lab in CEA-LETI, which has one of its main activities in the field of integrated circuit design of sensors. The operational work will be split in 5 main parts: bibliography (10%), architecture studies and modeling (20%), electronic design (30%), measurements and validation (20%) and publications (20%).

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Development of an analytical tool for ovulation detection dedicated to the improvment of the reproduction process in cattle breeding

Département Microtechnologies pour la Biologie et la Santé (LETI)

Laboratoire Chimie des Matériaux et des Interfaces

01-02-2018

SL-DRT-18-0558

pascal.mailley@cea.fr

This thesis is embedded within a larger aim collaborative project, SmartRepro (CEA-INRA) aiming at developing an automatic estrus detection tool that clearly differs from existing methods. The idea here is to get closer to the reference method of ovulation detection used in experimentation, namely the dosage of reproductive hormones. The originality of the project is to develop an on-board device containing a biological fluid sampling system capable of realizing these assays in real time and generating an alert to the farmer a few hours before the occurrence of ovulation. The aim of the thesis focuses on the development of the subcutaneous sampling tool residing in a network of hollow microneedles connected to a microfluidic device activated by a fluid pump. The implantation of the network is considered for the duration of an ovarian cycle and therefore should remain effective over a period close to 1 month. For this, solutions to avoid all inflammatory phenomena, likely to lead to the encapsulation of microneedles, and biofouling will be developed in order to conduct animal testing. As a preamble to this technical development, the PhD student will participate in experiments with INRA partner to determine the area of application of the sensor. This thesis aims to prove the concept of microneedles for the collection of interstitial fluids on an ovarian cycle over a five stage development from microneedle design to animal testing. We are searching for a PD student having an engineering formation in physics and a good background in microfluidics. A complementary formation in biomedical engineering will be greatly appreciated. The candidate have to be capable to work in a multidisciplinary fields (microfluidic, medical devices, animal experimentation, biomaterials)

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Architectures, caracterisations and simulation of organic and hybride PV devices for indoor applications

Département des Technologies Solaires (LITEN)

Laboratoire Modules Photovoltaïques Organiques

01-10-2018

SL-DRT-18-0582

noella.lemaitre@cea.fr

The organic solar cells are at the dawn of their industrialization and the hybrid Perovskite cells are already presented as the 3rd generation cells. The advantages of the technology such as lightness, conformability, the possibility to choose and adapt the design and the good module ratio at low illumination make OPV and hybrid modules good candidates for indoor applications, field in full expansion thanks to the Internet of Things (IoT). This thesis will be dedicated to the realization, understanding and optimization of powerful and stable devices under low illumination for indoor applications. The characterization of the devices by the LED-VIM (Variable Illumination Measurements) method should in particular allow to model their electrical behavior and thus to understand the influent parameters for the "low light". This PhD work will be conducted in close collaboration between the LMPO of CEA in INES for the realization and characterization of the organic and hybrid PV solar cells and the LEPMI of Savoie Mont Blanc University for the modelisation part.

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Power Management of Embedded Spike Imager in 3D-IC Technology

Département Architectures Conception et Logiciels Embarqués (LIST-LETI)

01-09-2018

SL-DRT-18-0603

gilles.sicard@cea.fr

The PhD objective is to study the power management of a spike imager embedded a neuromorphic signal processing on chip to allow an autonomous operation under safe thermal dissipation. The goal is to define the right power management architecture from energy scavenging to power delivery through a 3D heterogeneous technology stacking to management the restricted energy in the system. The power tree where power supply integration and power network are the key elements has to be defined especially to supply duty cycled and granular spike pixel matrix. The energy management of the signal processing based on convolutional neural network and the associated memories are also key issues to minimize the energy dissipated per logic operation. The technology stacking will be discussed to define the best granular power management strategy and to evaluate the power interconnection needs. Integrated circuit design will be done on some power blocks to verify the system-level energy-focused modeling.

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Embedding of high temperature resistant Fiber Bragg Gratings into metal structures obtained by additive manufacturing processes

DM2I (LIST)

Laboratoire Capteurs et Architectures Electroniques

01-10-2018

SL-DRT-18-0611

guillaume.laffont@cea.fr

LCAE laboratory from the Technological Research Division at CEA List, in partnership with the LISL laboratory from the CEA DEN, specialized in metal additive layer manufacturing processes, proposes a PhD thesis aiming at developing methods to integrate optical fiber sensors (OFS) based on high temperature resistant Fiber Bragg Gratings (FBGs) in metallic components obtained thanks to metal additive layer manufacturing processes either for the aerospace or for the nuclear industry. Thanks to recent developments, ultra-stable FBGs have been realized using direct writing processes into silica optical fibers with femtosecond lasers. These temperature and strain transducers combined with special optical fibers designed for very high temperature environments will be considered for the instrumentation of components obtained by metal additive layer manufacturing. This project aims at contributing to the adoption of in situ monitoring of 3D-printed metallic components, paving the way for their Structural Health Monitoring (SHM) to anticipate failures in the fabrication process and to optimize operating costs thanks to the development of predictive and conditional maintenance-based procedures.

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Air pollution control by means of a water layer

Département Microtechnologies pour la Biologie et la Santé (LETI)

Laboratoire Biologie et Architecture Microfluidiques

01-10-2018

SL-DRT-18-0616

jean-maxime.roux@cea.fr

Air pollution, especially urban air pollution, is a public health problem leading in France to nearly 50 000 deaths per year. The PhD subject deals with the design of a new urban clean-up system based on wet electrostatic precipitation. Air purifiers based on this principle are usually intended for an industrial use. The PhD will focus on a multiphysical numerical simulation of such a device, but adapted to an urban deployment, starting with the central and difficult problem posed by the stability of an air/water interface in an intense electric field. While being based on this simulation, the final challenge is to develop a numerical optimization of the system aiming at a significant reduction of its size and an appropriate integration of the toxic gas / airborne particles sensors developed at CEA GRENOBLE/Leti/DTBS. Experimental studies carried out at CEA will be guided by the obtained numerical results which will in return be validated.

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