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

PostDocs : selection by topics

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Design and control of a multimodal multi-fingered gripper for force and vision-guided robotic manipulation

Département Intelligence Ambiante et Systèmes Interactifs (LIST)

Laboratoire d'Architecture des Systèmes Robotiques

01-01-2021

PsD-DRT-20-0096

mathieu.grossard@cea.fr

The current offer focuses on the design and control approaches of functionally integrated multi-fingered grippers to be used for force- and vision-guided robotic manipulation tasks. The to-be-designed grasping tool will take advantage of multimodal sensing capabilities (embedding tactile sensors, mounted in a meaningful way within the mechatronic device, together with a self-sensing actuation apparatus) combined with a vision system to achieve autonomously fine force-controlled manipulation tasks (such as dexterous in-hand manipulation, pick-and place of rigid and flexible objects, component assembly, etc.). To do so, the previously designed multimodal system will be exploited for learning-by-demonstration tasks (relying on Human/Robot co-manipulation phase) to build a learnt database combining tactile, force and vision cues for a series of objects with various characteristics (in terms of geometry, shape, texture, mass, etc.). This database would first cover known objects, before being extended to objects in various poses and then to unknown objects using learning-based strategies.

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Electron tomography for 3D characterization of Fuel Cell Electrodes

Département des Technologies des NanoMatériaux (LITEN)

Laboratoire de Nanocaractérisation et Nanosécurité

01-09-2020

PsD-DRT-20-0099

laure.guetaz@cea.fr

Context: The objective of this post doc work is to characterize in 3D the microstructure of proton exchange membrane fuel cell (PEMFC) electrodes. These electrodes are composed of carbon grains (30 nm) supporting Pt nanoparticles (4 nm) and linked together by an ionomer (proton conducting polymer). Currently, little information is known about the 3D distribution of the ionomer, although it is a key parameter that the electrode manufacturers seek to optimize in order to improve the performance and the durability of PEMFC. The success of this work could have a strong impact in the fuel cell community. The work of the post doc researcher will mainly focus on: - Electron tomography experiments, - Sample preparation by ultramicrotomy or FIB, - 3D image reconstruction combining the different techniques,

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Tools and methods for Industry 4.0 complex systems engineering

Département Ingénierie Logiciels et Systèmes (LIST)

Labo.conception des systèmes embarqués et autonomes

01-10-2020

PsD-DRT-20-0103

saadia.dhouib@cea.fr

The Fourth Industrial Revolution or Industry 4.0, is the current transformation of traditional manufacturing and industrial practices with the latest smart and digital technologies. Interoperability is the basis of Industry 4.0 and guarantees open and pluralistic markets. It enables systems, devices and applications to communicate with one another and work together seamlessly. Open standards are essential components for interoperability, the Asset Administration Shell (AAS) is a promising standard for ensuring interoperability and implementing the digital twin in the manufacturing domain. The AAS is being further developed in application-oriented research projects (German and French national projects, as well as European projects), tested in ten testbeds and implemented in (at least) two pilot projects. The goal of your postdoc will be to investigate methods and develop modular, compositional and interoperable software architectures and tools based on models and integrated with available standards (AAS, AutomationML, SenML, OPC-UA, CoaAP, MQTT) and software frameworks from the Industry 4.0 community, such as Basyx . Artificial intelligence plays a key role in terms of enabling assets to exchange data and information directly with one another and to make decisions autonomously. You will also investigate the design and implementation of AI components to arrive at new solutions and business models in the AAS based ecosystem. Together with senior members of the lab, you will get involved in EU projects such as CanvAAS and AI-REGIO. The main goal is to set-up and consolidate a vibrant ecosystem, tool-chain and community that will provide and integrate model-based design for Industry 4.0, digital twin implementation and liable AI solutions in the manufacturing domain.

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Post-doctoral position in AI safety and assurance at CEA LIST

Département Ingénierie Logiciels et Systèmes (LIST)

Labo.conception des systèmes embarqués et autonomes

01-10-2020

PsD-DRT-20-0110

morayo.adedjouma@cea.fr

The position is related to safety assessment and assurance of AI (Artificial Intelligence)-based systems that used machine-learning components during operation time for performing autonomy functions. Currently, for non-AI system, the safety is assessed prior to the system deployment and the safety assessment results are compiled into a safety case that remains valid through system life. For novel systems integrating AI components, particularly the self-learners systems, such engineering and assurance approach are not applicable as the system can exhibit new behavior in front of unknown situations during operation. The goal of the postdoc will be to define an engineering approach to perform accurate safety assessment of AI systems. A second objective is to define assurance case artefacts (claims, evidences, etc.) to obtain & preserve justified confidence in the safety of the system through its lifetime, particularly for AI system with operational learning. The approach will be implemented in an open-source framework that it will be evaluated on industry-relevant applications. The position holder will join a research and development team in a highly stimulating environment with unique opportunities to develop a strong technical and research portfolio. He will be required to collaborate with LSEA academic & industry partners, to contribute and manage national & EU projects, to prepare and submit scientific material for publication, to provide guidance to PhD students.

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Advanced tandem time of flight mass spectrometry for microelectronic applications

Département des Plateformes Technologiques (LETI)

Autre laboratoire

01-01-2020

PsD-DRT-19-0115

jean-paul.barnes@cea.fr

The CEA LETI seeks to recruit a post-doctoral researcher to work on the development of advanced time of flight secondary ion mass spectrometry applications (TOF-SIMS). The candidate will work on a new TOF-SIMS instrument equipped with tandem MS spectrometry, in-situ FIB and Argon cluster sputtering. The research project will be focused around the following topics ? Developing methods to correlate TOF-SIMS with AFM, XPS and Auger ? Improving the sensitivity and efficiency of fragmention of the tandem MS spectrometer ? Developing 3D FIB-TOF-SIMS applications and improving the spatial resolution. The candidate will also have access to the wide range of state of the art instruments present on the nanocharacterisation platform as well as bespoke samples coming from the advanced technology branches developed at the LETI. The candidate will also benefit from a collaboration with the instrument supplier.

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Optical sensor development for in-situ and operando Li-ion battery monitoring

Département de l'Electricité et de l'Hydrogène pour les Transports (LITEN)

Laboratoire Analyse électrochimique et Post mortem

01-01-2020

PsD-DRT-19-0121

olivier.raccurt@cea.fr

To improve the battery management system, it is required to have a better knowledge of the physical and chemical phenomena inside the cells. The next generation of cells will integrate sensors for deepest monitoring of the cell to improve the performances, safety, reliability and lifetime of the battery packs. The main challenge is thus to measure relevant physico-chemical parameters in the heart of the cell to get a direct access to the real state of the cell and thus to optimize its management. To address this challenge, a research project will start at CEA at the beginning of 2020 to develop innovative optical sensors for Li-ion battery monitoring. He / She will participate, in a first step, to the development of optical probes and their integration on optical fibres. The work will focus on the synthesis of a photo-chemical probe (nanoparticle and/or molecule) as active part of the sensor. Then, theses probes will be put on the optical fibre surface to form the sensor. The candidate will also participate to the realization of an optical bench dedicated to the testing of the sensors. In a second step, he / she will work on integrating the sensors into the Li-ion cells and test them in different conditions. The objective is to demonstrate the proof of concept: validation of the sensors efficiency to capture the behaviour of the cell and correlate it to electrochemical measurements.

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