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

PostDocs : selection by topics

Nouvelle approche de conception circuits et systèmes en optimisation conjointe avec des technologies en rupture

Département Architectures Conception et Logiciels Embarqués (LIST-LETI)

Laboratoire Architectures Intégrées Radiofréquences

01-01-2019

PsD-DRT-19-0027

dominique.morche@cea.fr

The objective of this contract is to validate and improve a new system and circuit optimisation approach on different application areas. The candidate will be in charge of creating the architectural model taking into account the different solutions that can be used, starting from the simplest implementation and then adding gradually complexity and precision to the models. The purpose will be to compare the result of the analysis approach to the value obtained on existing systems developped in CEA. For that purpose, the candidate will be jointly working with numerous teams working on technology development, technology modeling and characterization, circuit design and lastly system modeling. To validate the proposed approach, the objective of the candidate will be to test it on three different levels: at basic building block level (lna, ring oscillator) using 22 FDX technology, at function level (front-end module for WiFi) using 130nm PD-SOI and lastly for imagers and mmw radars using 3D technology.

Innovative modeling for technology-design-system co-optimization

Département Composants Silicium (LETI)

Laboratoire de Simulation et Modélisation

01-01-2019

PsD-DRT-19-0028

luca.lucci@cea.fr

The post-DOC will support the device modeling part of a research project investigating new methodologies for system and circuit optimization with the aim of achieving a better integration between the knowledge of the detailed characteristics of a specific technology, the circuit-design methodology and the system architecture. The practical goal is to leverage the existing multi-disciplinary know-how for benchmarking of system and technologies to advance the analysis past the usual PPA, PPAY and PPAC approaches that are commonly deployed in such cases. In more detail, the post-DOC will develop "pre"-spice models for actives and passives which will constitute the basic bricks for the optimization methodology developed in the overall project. Active device modeling will have a starting point in the works of EPFL based on the analytical expression of invariants such has the inversion coefficient.

Characterization and Modeling of epitaxial leakage current and trapping effects in GaN on Si substrates

Département Composants Silicium (LETI)

Laboratoire de Caractérisation et Test Electrique

01-03-2019

PsD-DRT-19-0031

william.vandendaele@cea.fr

Understand and model the leakage current in the epitaxial structure as well as the trapping effects in GaN on Si substrates remain critical to optimize efficiently the final device (HEMT or Diode) dynamic behavior. Current collapse, OFF state and Breakdown voltage are directly related to the quality of the GaN on Si substrate. Up to now, only partial explanation of the leakage mechanims are reported and hardly modeled. Plus the direct correlation between current collapse and substrate leakage is not so obvious. The postdoctoral position will consist on : Advanced electrical characterization (IV, I(t), Susbtrate ramping, C(V)...) at different temperature and illumination conditions will be performed on epitaxial layers or final devices. Extracted parameters and data will be analyzed thouroughly to deduce the predominant condutction mechanisms in the different layers of the epitaxial stack. TCAD modeling will be used to fit experimental data thanks to relevant extrated parameters.

Detection of small particules in the environment with nanomechanical resonators

Département Composants Silicium (LETI)

Laboratoire Composants Micro-Capteurs

01-06-2019

PsD-DRT-19-0033

sebastien.hentz@cea.fr

Today, there are solutions for detecting and quantifying PM10 and PM2.5 type particles (10 and 2.5µm diameter); their reliability depends essentially on their cost. These solutions are essentially optical, and they must be improved for particles down to a micron. For even smaller particles that are even more dangerous to health, there does not seem to be an obvious solution today. Nanomechanical resonators perform very well in these size / mass ranges, as demonstrated by our recent results obtained with our system for biological objects in liquid, recently published by the journal Science (http://science.sciencemag.org/content/ 362/6417/918). These nanoresonators therefore appear as a promising technology for the detection of PM especially for certain applications of air quality control in real time. It will therefore be necessary to study the possibility of detecting particles in the air, in particular those which are hardly detectable today (PM <0.5). We will rely very largely on the systems developed for the detection of biological particles in liquid medium. It will be a question of taking advantage of this know-how and of adapting the system architectures, but also the nanomechanical resonators themselves for the detection of particles in aerosol. We will target representative nanoparticles, organic, pathogenic or non-pathogenic. In terms of resonators, we will also take advantage of current fabrications, with specific designs (electrical or optomechanical) for this application. We will particularly study the possibility of preventing fouling problems. The candidate will be fully integrated into the team around mass detection with nanoresonators.

Sizing and control optimisation of a hydrogen production system coupled with an offshore wind farm

DPLOIRE (CTReg)

Autre

01-03-2018

PsD-DRT-18-0034

guenael.lesolliec@cea.fr

Coupling MRE (Marine Renewable Energy) and hydrogen sectors reveal an important potential long-term assets. The MHyWind project suggests to estimate the energetic and economic potential of a hydrogen production system integrated into a substation of an offshore wind farm. The hydrogen produced and stored locally will be distributed by boat for harbour uses, as a replacement of fossil fuels. For that purpose, it will be organized a simulation which will integrate all the energy chain towards the harbour uses of hydrogen. It will allow to estimate various configurations and sizing according to the local uses, valuation leverages, control modes and behavior of the system. The criteria will be the producible (kg of H2 producted and used) and complet costs (CAPEX and OPEX). The objective of the postdoctoral student will be to develop the simulation tool on this applicative being fully integrated with the teams of concerned laboratories.

Simultaneous Localisation and Mapping with an RGB-D camera based on a direct and sparse method

Département Intelligence Ambiante et Systèmes Interactifs (LIST)

Vision & Ingénierie des Contenus (SAC)

01-01-2018

PsD-DRT-18-0038

steve.bourgeois@cea.fr

Recent advances in the methods of locating a device (smartphone, robot) in relation to its environment make it possible to consider the deployment of augmented reality solutions and autonomous robots. The interest of RGB-D cameras in such a context is notable since it allows to directly acquire the depth map of the perceived scene. The objective of this post docorate consists in developping a new SLAM (Simultaneous Localisation and Mapping) method relying on a depth sensor. To reach a solution both robust, accurate and with small CPU/memory comsumption, the depth image will be exploited though a direct and sparse approach. The resulting solution will be then combined with the solution of "RGB SLAM Constrained to a CAD model" developped in our laboratory, resulting finaly in an "RGB-D SLAM Constrained to a CAD model"

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