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

PostDocs : selection by topics

Application of ontology and knowledge engineering to complex system engineering

Département Ingénierie Logiciels et Systèmes (LIST)

Labo. ingénierie des langages exécutables et optimisation

01-06-2019

PsD-DRT-19-0088

flroian.noyrit@cea.fr

Model-Based System Engineering relies on using various formal descriptions of the system to make prediction, analysis, automation, simulation... However, these descriptions are mostly distributed across heterogeneous silos. The analysis and exploitation of the information are confined to their silos and thereby miss the big picture. The crosscutting insights remain hidden. To overcome this problem, ontologies and knowledge engineering techniques provide desirable solutions that have been acknowledged by academic works. These techniques and paradigm notably help in giving access to a complete digital twin of the system thanks to their federation capabilities, in making sense to the information by embedding it with existing formal knowledge and in exploring and uncovering inconsistencies thanks to reasoning capabilities. The objective of this work will be to propose an approach that gives access to a complete digital twin federated with knowledge engineering technologies. The opportunities and limits of the approach will be evaluated on industrial use cases.

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.

Characterization of X-ray emitting radionuclides - Application to reactor dosimetry

DM2I (LIST)

Laboratoire de Métrologie de l'Activité

01-09-2019

PsD-DRT-19-0090

marie-christine.lepy@cea.fr

The activity measurement of X-ray emitting radionuclides in the energy range below 100 keV encounters several difficulties that limit the accuracy of the result. These include the difficulty of calibrating detector performance and, in general, the significant uncertainties associated with emission intensities X. In addition, the self-absorption effects of X-rays in standard sources or samples lead to important corrections that must be controlled. Among the important applications of X-emitter measurement, reactor dosimetry, which makes it possible to determine the neutron fluence received during irradiation and to characterize its spectrum, is based on the analysis of the activity of irradiated dosimeters. These are made of pure metals or alloys of perfectly known compositions, some of which are activated or fissioned by neutrons. For example, reactions 93Nb(n,n')93Nbm and 103Rh(n,n')103Rhm are of prime importance for reactor dosimetry and are particularly interesting for characterizing neutron fluxes around 1 MeV. The proposed work follows a thesis that identified several areas for improvement in dosimeter measurement that will need to be implemented, including : - improvement of radionuclide X-ray emission data used as standard for calibration (133Ba, 152Eu, etc.) to establish a consistent set of data; - validation of corrective coefficients due to the presence of impurities during dosimeter irradiation; - evaluation and publication of the decay scheme of 103Pd and 103mRh; - implementation of a new method of performance calibration using monochromatic radiation.

PostDoc Optically Pumped Magnetometers Network (OPM)

Département Systèmes

Laboratoire Capteurs Haute Performance

01-10-2019

PsD-DRT-19-0093

agustin.palacioslaloy@cea.fr

The purpose of the post-doctorate is to contribute to the development of magnetometer networks with helium optical pumping, magnetoencephalography (MEG) and magneto-cardiography (MCG). This will involve both theoretical and experimental work to improve a first prototype of medical magnetic imager, based on optically pumped magnetometers. This technology is derived from a product developed for space applications, and implemented on satellites currently orbitting. This work aims to bring this technology to the medical imaging market, through the creation of a CEA-Leti start-up. This work will be carried out in a multidisciplinary team, composed of researchers, experienced engineers, as well as PhD or post-doctorate students, specialized in the fields of optics / laser, magnetic and electronic instrumentation (there are 3 positions opened). This work will also rely on collaborations with medical research teams in neurology / cardiology. In particular, the candidate will have to participate in measurement campaigns in hospitals, in partnership with doctors and medical engineers. The purpose of these measurements is to lead the candidate to propose and implement improvements on the prototype magnetic imager used for measurements.

Chemical multisensor array system embedded on miniaturized robots for search and rescue operations

DM2I (LIST)

Laboratoire Capteurs Diamants

01-01-2020

PsD-DRT-19-0096

emmanuel.scorsone@cea.fr

The postdoctoral researcher will work in the framework of the H2020-CURSOR project funded by the European Commission. This project will start in September 2019 and focus on the development of miniaturized robotic equipment and advanced sensor technologies for search and rescue operations. The main task of the candidate will be to integrate off-the-shelf and/or experimental chemical sensors onto miniaturized robots developed by another partner of the CURSOR consortium, in strong collaboration with chemical sensors specialists. This will include the development of dedicated read-out and data communication electronics, power management, data processing e.g. using multiparametric data analysis algorithms, etc. The developments will take into account a number of challenges with respect to the usage case (weight and size limitations, autonomy, resilience in harsh environments, etc.). The candidate will also take part in the various technical meetings with the other consortium members, writing of deliverables, and possibly field testing.

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.

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