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

PostDocs : selection by topics

Development of a cell analysis algorithm for phase microscopy imaging

Département Microtechnologies pour la Biologie et la Santé (LETI)

Laboratoire Imagerie et Systèmes d'Acquisition

01-09-2018

PsD-DRT-18-0089

cedric.allier@cea.fr

At CEA-Leti we have validated a video-lens-free microscopy platform by performing thousands of hours of real-time imaging observing varied cell types and culture conditions (e.g.: primary cells, human stem cells, fibroblasts, endothelial cells, epithelial cells, 2D/3D cell culture, etc.). And we have developed different algorithms to study major cell functions, i.e. cell adhesion and spreading, cell division, cell division orientation, and cell death. The research project is to extend the analysis of the datasets produced by lens-free video microscopy. The objective is to study a real-time cell tracking algorithm to follow every single cell and to plot different cell fate events as a function of time. To this aim, researches will be carried on segmentation and tracking algorithms that should outperform today's state-of-the-art methodology in the field. In particular, the algorithms should yield good performances in terms of biological measures and practical usability. This will allow us to outperform today's state-of-the-art methodology which are optimized for the intrinsic performances of the cell tracking and cell segmentation algorithms but fails at extracting important biological features (cell cycle duration, cell lineages, etc.). To this aim the recruited person should be able to develop a method that either take prior information into account using learning strategies (single vector machine, deep learning, etc.) or analyze cells in a global spatiotemporal video. We are looking people who have completed a PhD in image processing, with skills in the field of microscopy applied to biology.

Development of flexible solar panel for space application

Département des Technologies Solaires (LITEN)

01-10-2017

PsD-DRT-17-0097

mathieu.baudrit@cea.fr

Traditional solar panels used to power satellites can be bulky with heavy panels folded together using mechanical hinges. Smaller and lighter than traditional solar panels, flexible solar array consists of a flexible material containing photovoltaic cells to convert light into electricity. Being flexible, the solar array could roll or snap using carbon fiber composite booms to deploy solar panels without the aid of motors, making it lighter and less expensive than current solar array designs. On the other hand, satellite trends are shifting away from one-time stints and moving towards more regular use in a constellation setting. In the last years, the desire increased to mass-produce low-weight satellites. Photovoltaic arrays companies are challenged on their capacity to face these new needs in terms of production capacity and versatility. And this is exactly where space photovoltaics can learn from terrestrial photovoltaics where this mass production and low-cost shift occurred years ago. To tackle these new challenges, the Liten institute started to work on these topics two years ago. In the frame of this post-doc, we propose the candidate to work on the development of an innovative flexible solar panel architecture, using high throughput assembly processes. We are looking for a candidate with a strong experience in polymers and polymers processing, along with an experience in mechanics. A previous experience in photovoltaic will be greatly appreciated.

Systemic Optimisation and Functional Digital Twin

Département Ingénierie Logiciels et Systèmes (LIST)

Labo. ingénierie des langages exécutables et optimisation

01-10-2018

PsD-DRT-18-0098

arnaud.cuccuru@cea.fr

The current economic constraints in the industrial field are getting tighter, which leads to increased competitiveness and a need to produce better and quicker. The optimisation of production processes and their design therefore lies at the centre of the considerations on the Factory of the Future. Optimisation needs are large and cover various scopes ranging from design and logistics to processes, with the objective of reducing time and costs while maintaining or even increasing the quality and tailoring of products and services. Optimisation and simulation tools need a comprehensive vision of the systems they study, which may be provided by a Functional Digital Twin of the factory/construction site. The approach of Model-Driven Engineering (MDE) allows engineers to design such a Twin and to interconnect it with numerical models (equations, 3D models ?), which allows validating and/or optimising the overall system operation through a complete Digital Twin. The goal of this Post-Doc is to investigate and develop a generic and configurable framework for process optimisation (scheduling, sizing ...) around MDE tool Papyrus and its simulator. An executable language, dedicated to the description of Digital Twins, has been implemented in Papyrus, and first industrial optimization projects have been completed. The main objective of this Post-Doc is to propose a generic simulation-based framework to solve optimisation problems of the factory/construction site. The goal is also to improve the decision support environment existing in Papyrus, using results of optimisations and simulations. The candidate will have to ensure a technology watch on the topics of process optimisation within the framework of the industry of the future and to organise and animate the topic of optimisation in the laboratory.

Apprenticeship Learning Platform deployment for industrial applications

DPLOIRE (CTReg)

Autre

01-10-2018

PsD-DRT-18-0112

guillaume.hamon@cea.fr

This project aims at developing a demonstrator that integrates state-of-the-art technologies and improve it on a use-case representative of the industrial world. The demonstrator will consist in a robotic / cobotic arm coupled to an acquisition sensor (RGBD type). This device will be positioned in a workspace made of a rack / shelf containing objects / pieces of various shapes and qualities (materials, densities, colors ...) in front of which will be placed a typical conveyor prototype of industrial installations. The type of tasks expected to be carried out by the demonstrator will be "pick and place" type tasks where an object will have to be identified in shelf and then placed on the conveyor. This type of demonstrator will be closer to the real industrial conditions of use than the "toy" examples used in the academic field. This demonstrator will focus first on the short-term effectiveness based on state of the art technologies for both hardware and software, for a use case representative of the industrial world. At first, it will thus be less focused on the evolution of the algorithms used than on the adaptation of the parameters, the injection of knowledge a priori dependent on the context making it possible to reduce the high-dimensional input space, etc.

Photothermal active hydrogel-based microneedles for the delivery of insulin

Département Nord Pas De Calais

01-11-2018

PsD-DRT-18-0113

severine.vignoud@cea.fr

Microneedles (MN) array offer a highly promising solution for overcoming the barrier that the skin creates to deliver small molecular as well as macromolecular therapeutics. Drug delivery from MN arrays is based on dissolving the microneedles once inserted into the skin. This is however a large limitation for diseases requiring medications that must be dosed intermittently on demand and over a longer period of time. To address this issue, a stimuli responsive MN array system for the on-demand delivery will be developed in this project. It is based on the formation of reduced graphene oxide (rGO) impregnated hydrogel based MN arrays. The choice of rGO loaded MNs is made based on its high light absorption in the near-infrared region and excellent photothermal properties, converting absorbed light into heat. To validate the proof of concept for on demand drug delivery, insulin will be integrated into the MN and its release upon light activation explored. Next to exploring the physico-chemical and mechanical properties of the novel MN array, the focus will be on transdermal delivery of insulin into diabetic mice. This part of the work will be performed in close collaboration with the European Genomic Institute for Diabetes (EGID FR 3508) which is one of the first and only institution dedicated to research on diabetes.

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.

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