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Internal Research Fellow Postdoc in OnBoard Data Processing
2017-11-24 16:16:58| Space-careers.com Jobs RSS
Research Fellow opportunity in the Directorate of Technology, Engineering and Quality. ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. Applications from women are encouraged. Post Internal Research Fellow Postdoc in OnBoard Data Processing This post is classified F2 on the Coordinated Organisations salary scale. Location ESTEC, Noordwijk, The Netherlands Description Onboard payload data processing work is based in the OnBoard Payload Data Processing Section in the Data Systems and Microelectronics Division at ESTEC. Our competences include Data processor architectures Data acquisition chains High speed onboard networks Digital signal processing, processors and specialised devices Payload data storage Image and signal processing algorithms Data compression techniques High rate data encryption As part of ESAs Directorate of Technical and Quality Management, the Section provides technical support in its domain of competence to all programme directorates in order to support their missions and developments. The Section is also responsible for initiation and execution of technology developments that may lay the foundation for future missions. This comprises developments in analogue and digital hardware from components to subsystems and building blocks, lowlevel software and novel signal processing techniques. In particular, the Section hosts the centre of expertise for data compression algorithms, techniques and devices. It has initiated the development and standardisation of SpaceWire and SpaceFibre links, nodes and networks which have become very widely used not only in nearly all European space missions but also in the US, Japan, Russia and around the world. Interested candidates are encouraged to visit the ESA website for more information regarding the Divisions activities. Fields of activitiesresearch This research fellow position provides an opportunity for interested researchers to enhance the understanding of how reconfigurable spacequalified and COTS FPGAs, such as Microsemi RTG4 flashbased, Xilinx Virtex Zynq and ESAs BRAVE SRAMbased, can be implemented in current and future on board data processing units in an efficient way. While the fault tolerance of such devices is a rich research topic on its own, the research will be focused on how these devices are best used from a system engineering perspective, including The upload of full bitstreams to the spacecraft and the partial patching of bitstreams, including an investigation of possible compression schemes for interplanetary missions with lowspeed upload data rates The storage of bitstreams in memory, including an analysis of the optimal location and the required mechanisms e.g. to load the bitstream from a mass memory unit to the working memory of the payload instrument, to verify the correctness of the transfer and to execute scrubbing of the memory, if required The full and depending on the device technology partial configuration of the FPGA depending on mission phases or processing tasks to be performed. This crucial step requires special attention to ensure that neither the device itself nor any attached device is harmed due to a faulty configuration. An analysis should show up potential risks e.g. accidentally reprogrammed InputOutput blocks and suggest fault isolation schemes on unit level Even if it is known that the bitstream is downloaded correctly to the FPGA device, it would be interesting to execute some basic hardware validation before operation. For instance, the implemented hardware could be tested in flight, by stimulating it with test vectors on its inputs and by comparing its outputs to a known signature. It could be researched how to store and compress the vectors efficiently and how to write and read them tofrom the device JTAG boundary scan, NAND tree etc. A boot loader concept that implements similar to a software boot loader TMTC functionality to execute the abovementioned steps upload, download, decompression, memory copy, memory verification, full and partial reconfiguration of the FPGA, verification of correct functionality of the FPGA. The boot loader should also take into account i systems with multiple FPGAs, and ii systems that use the FPGAs as accelerators i.e. that want to dynamically request the installation of new hardware blocks from a main software running on a microprocessor. A tradeoff study could reveal the pros and cons of implementing this boot loader i external to the instrument, e.g. within the onboard computer, ii within the instrument in a dedicated microprocessor and iii even within the FPGA itself in either a hard or soft microprocessor. Technical competencies Ability to conduct research autonomously Breadth of exposure coming from past andor current researchactivities Researchpublication record Knowledge relevant to the field of research Interest in space and space research Ability to gather and share relevant information Behavioural competencies Innovation Creativity Continuous Learning Self Motivation Communication Problem Solving Relationship Management CrossCultural Sensitivity Education Applicants should have recently completed, or be close to completion of a PhD in electrical engineering, preferably with a background in Field Programmable Gate Arrays FPGAs. Preference will be given to applications submitted by candidates within five years of receiving their PhD. Additional requirements The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset. Other information For behavioural competencies expected from ESA staff in general, please refer to the ESA Competency Framework. The Agency may require applicants to undergo selection tests. The closing date for applications is 01.01.2018. In addition to your CV and your motivation letter, please add your proposal of no more than 5 pages outlining your proposed research. Candidates must also arrange for up to three letters of reference to be sent by email, before the deadline, to temp.htresa.int. The letters must be sent by the referees themselves. The candidates name must be mentioned in the subject of the email. If you require support with your application due to a disability, please email contact.human.resourcesesa.int. Please note that applications are only considered from nationals of one of the following States Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, the United Kingdom and Canada and Slovenia as well as Bulgaria, Cyprus, Latvia, Lithuania, Slovakia as European Cooperating States ECS. Priority will first be given to candidates from underrepresented Member States. In accordance with the European Space Agencys security procedures and as part of the selection process, successful candidates will be required to undergo basic screening before appointment Apply HERE
Tags: data
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Image Processing Ground Segment ArchitectBid Manager
2017-11-22 16:16:28| Space-careers.com Jobs RSS
With 1.700 employees worldwide, the CS Group is a leading IT company in France and in Germany, and a prime contractor in designing, integrating and operating mission critical systems. For more than 30 years that comprehensive CS solutions for space systems and applications, both on the ground and in space, have been part and parcel of this odyssey. Our German activities grow at fast pace and to face our costumers high level expectations and needs, we are looking for talented profiles having relevant experience in Space systems. To strengthen our team, we are looking for an Image Processing Ground Segment ArchitectBid Manager. PROFILE On top of the requested skills, a significant experience dedicated to Image Processing Ground Segment System definition, development and associated operational activities is required. Skills Master degree or university degree Expertise on image data processing chain Sound experience dealing with ground segment operational constraints Good knowledge in ground segment operational activities Good knowledge in image and signal data processing including associated algorithm Fluent in English Autonomous and active in technology intelligence, you have acquired strong writing communication skills which will allow you to take part on technical answers dedicated to our bid activities. TASKS In the context of the extension of our image processing ground segment activities, you will be involved in the bid activities related to the definition, design, development of systems part of the algorithms chains based on dedicated libraries and image processing tools. You will support our Payload Data Ground Segment team during the overall bid activities. Your expertise will then cover technical points of the statement of work. You will also propose new design for the new image processing center and the radiometric and geometric image quality center.
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PPES 2017 Plastics Processing Exhibition & Summit 2017
2017-11-14 20:12:01| Canadian Plastics Headlines
Plan Your Visit to Learn and Explore New Plastics Processing Technologies Every one from Plastics Processors must visit this Unique Expo This is a TechnoBiz Event The post PPES 2017 – Plastics Processing Exhibition & Summit 2017 appeared first on Canadian Plastics.
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exhibition
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plastics
RightCycle Program Helps People with Disabilities Find Work Processing Hard-to-Recycle Items
2017-11-13 17:11:43| Waste Age
Through Kimberly-Clark Professionals RightCycle program, JCDC is providing jobs for approximately 30 people who have survived traumatic brain injuries or have been diagnosed with autism spectrum disorders.
Gap pilots AI-powered robots for warehouse processing
2017-11-09 12:13:00| Daily apparel & textile news and comment - from just-style.com
US apparel giant Gap is one of a number of major apparel brands piloting machines with human-like intelligence in their warehouses though San Francisco-based robotics and artificial intelligence start-up Kindred.
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warehouse
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