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OnBoard Payload Data Processing Engineer Optical

2021-06-17 13:14:06| Space-careers.com Jobs RSS

Deadline for application 29th June With 2,100 employees worldwide, the CS Group is a leading IT company in France and Germany, and a prime contractor in designing, integrating and operating mission critical systems. It has now been over 30 years that comprehensive CS Group solutions for space systems and applications, both on the ground and in space, have been part and parcel of this odyssey. This position is supporting our client ESA at their ESTEC location in Noordwijk in the Netherlands. In this large European agency, you will find an excellent and modern working environment with challenging tasks and responsibilities with the opportunity to gain exposure to various projects and missions at the heart of European space research and development. If you are successful in this position you are guaranteed a very competitive salary, a permanent Dutch contract, Industry leading base salary, full healthcare, pension contribution, 30 days vacation, annual training budget, access to the ESTEC social club membership and a relocation package if required. Responsibilities Duties Tasks You will be responsible for the following diverse range of tasks, encompassing algorithmic definition, development and validation and involving software, hardware and system constraints. These tasks are expected to address processing functions focusing on payload performance image quality, data compressionreduction and data analysis. They can be grouped within the following main headings Analysis of systemlevel needs and definition of system and subsystem requirements specifications for optical payload processing functions Definition, design, development, performance evaluation and verification of image processing functions and algorithms via simulation techniques e.g. Matlab, Python, prototyping SW Design, verification and validation of payload image processing chains in close collaboration with teams responsible for SW and HW implementation Support to HWSW optimization and implementation of payload data processing functions on processors e.g. uCuP, DSP, GPU, AI accelerators and FPGA based platforms Specific engineering support in the above domains to mainstream ESA space projects, mainly for but not restricted to the development and testing phases Mandatory skills background Extensive knowledge in image processing, compression and computer vision techniques Extensive knowledge in optical imaging payloads, signalimage quality and onboard payload data processing functions Extensive knowledge in simulation of image processing functions Matlab, Python, ENVIIDL, C, etc Knowledge in the design, training and validation of machine learning techniques not limited to deep learning for tasks such as prediction, classification, semantic segmentation, object detection, etc. Familiarity with computational imaging techniques image stabilization, superresolution, active optics, etc Familiarity with payload data processing onboard systems architectures Familiarity with processing devices and onboard electronics design related to data acquisition and processing functions Familiarity with procurement of demonstrator units, subsystem integration and testing Ability to work in an autonomous manner, in particular when providing support to projects with high time allocations and this in coordination with the line manager

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OnBoard Payload Data Processing Engineer RF

2021-06-17 13:14:06| Space-careers.com Jobs RSS

Deadline for application 29th June With 2,100 employees worldwide, the CS Group is a leading IT company in France and Germany, and a prime contractor in designing, integrating and operating mission critical systems. It has now been over 30 years that comprehensive CS Group solutions for space systems and applications, both on the ground and in space, have been part and parcel of this odyssey. This position is supporting our client ESA at their ESTEC location in Noordwijk in the Netherlands. In this large European agency, you will find an excellent and modern working environment with challenging tasks and responsibilities with the opportunity to gain exposure to various projects and missions at the heart of European space research and development. If you are successful in this position you are guaranteed a very competitive salary, a permanent Dutch contract, Industry leading base salary, full healthcare, pension contribution, 30 days vacation, annual training budget, access to the ESTEC social club membership and a relocation package if required. Responsibilities Duties Tasks You will be responsible for the following diverse range of tasks, encompassing algorithmic and hardware definition, development and validation, involving software, hardware and system constraints. These can be grouped within the following main headings Design, development and performance evaluation and characterisation of control, data and signal processing units for Radio Frequency payloads and instruments. Definition, design, development, performance evaluation and verification of data and signal processing functions and algorithms via simulation techniques e.g. Matlab, Python, prototyping SW. Design, verification and validation of payload data and signal processing chains. Hardware software optimization and implementation of payload data processing functions on processors e.g. uCuP, DSP, GPU, AI accelerators and FPGA e.g. MPSoC, RfSoC based platforms. Radio Frequency payloads instruments related ASICs and device specification validation Specific engineering support in the above domains to mainstream ESA space projects, mainly for but not restricted to the development and testing phases. Mandatory skills background Extensive knowledge in onboard data and signal processing techniques. Extensive knowledge in signal quality and onboard payload data processing functions for RF remote sensing and Telecom payloads. Extensive knowledge in simulation of signal processing functions Matlab, Python, C, etc Knowledge in the design, training and validation of machine learning techniques not limited to deep learning for tasks such as prediction, classification, semantic segmentation, object detection, etc Familiarity with telecom payload processors, synthetic aperture radar, radar altimetry and radio frequency interference mitigation coverage of more than one of the topics will be a strong asset Familiarity with payload data and signal processing onboard systems architectures Familiarity with processing devices and onboard electronics design related to data acquisition and processing functions Familiarity with procurement of units, subsystems integration and testing Ability to work in an autonomous manner, in particular when providing support to projects with high time allocations and this in coordination with the line manager

Tags: data processing engineer rf

 
 

Good bacteria could help fight pathogens in food processing

2021-06-16 15:00:00| National Hog Farmer

Scientists researching effective, economical ways to lower risks of cross-contamination at food processing facilities.

Tags: good food processing fight

 

Good bacteria could help fight pathogens in food processing

2021-06-16 15:00:00| Beef

Scientists researching effective, economical ways to lower risks of cross-contamination at food processing facilities.

Tags: good food processing fight

 

OnBoard Data Processing Engineer

2021-06-11 16:13:09| Space-careers.com Jobs RSS

Aurora is an established supplier of skilled manpower to ESA and in particular at ESTEC and ESAC. Aurora has the opportunity to expand our support to ESA in the domain of EDP Electromagnetics Components Data Power Systems Engineering. We are looking for an Onboard Payload Data Processing Engineer to support the RF DIgital Equipment Payload Data Processing Section. Happiness of our employees has proven key to obtaining excellent results and a client who also regards us highly for excellent service. Overview One of the following two profiles are requested RF Instrument Data Processing Engineer A diverse range of support tasks is required to be carried out, encompassing algorithmic and hardware definition, development and validation, involving software, hardware and system constraints. These can be grouped as the following Design, development and performance evaluation and characterisation of control, data and signal processing units for Radio Frequency payloads and instruments. Definition, design, development, performance evaluation and verification of data and signal processing functions and algorithms via simulation techniques e.g. Matlab, Python, prototyping SW. Design, verification and validation of payload data and signal processing chains. Hardware software optimization and implementation of payload data processing functions on processors e.g. uCuP, DSP, GPU, AI accelerators and FPGA e.g. MPSoC, RfSoC based platforms. Radio Frequency payloads instruments related ASICs and device specification validation. Specific engineering support in the above domains to mainstream ESA space projects, mainly for but not restricted to the development and testing phases. Optical Instrument Image Processing Engineer A diverse range of support tasks is required to be carried out, encompassing algorithmic definition, development and validation and involving software, hardware and system constraints. These tasks are expected to address processing functions focusing on payload performance image quality, data compressionreduction and data analysis. They can be grouped as the following Analysis of systemlevel needs and definition of system and subsystem requirements specifications for optical payload processing functions. Definition, design, development, performance evaluation and verification of image processing functions and algorithms via simulation techniques e.g. Matlab, Python, prototyping SW. Design, verification and validation of payload image processing chains in close collaboration with teams responsible for SW and HW implementation. Support to HWSW optimization and implementation of payload data processing functions on processors e.g. uCuP, DSP, GPU, AI accelerators and FPGA based platforms. Specific engineering support in the above domains to mainstream ESA space projects, mainly for but not restricted to the development and testing phases. Specific qualification requirements For RF Instrument Data Processing Engineer Extensive knowledge in onboard data and signal processing techniques. Extensive knowledge in signal quality and onboard payload data processing functions for RF remote sensing and Telecom payloads. Extensive knowledge in simulation of signal processing functions Matlab, Python, C, etc. Knowledge in the design, training and validation of machine learning techniques not limited to deep learning for tasks such as prediction, classification, semantic segmentation, object detection, etc. Familiarity with telecom payload processors, synthetic aperture radar, radar altimetry and radio frequency interference mitigation coverage of more than one of the topics will be a strong asset. Familiarity with payload data and signal processing onboard systems architectures.Familiarity with processing devices and onboard electronics design related to data acquisition and processing functions. Familiarity with procurement of units, subsystems integration and testing. Ability to work in an autonomous manner, in particular when providing support to projects with high time allocations and this in coordination with the line manager. For Optical Instrument Image Processing Engineer Extensive knowledge in image processing, compression and computer vision techniques. Extensive knowledge in optical imaging payloads, signalimage quality and onboard payload data processing functions. Extensive knowledge in simulation of image processing functions Matlab, Python, ENVIIDL, C, etc. Knowledge in the design, training and validation of machine learning techniques not limited to deep learning for tasks such as prediction, classification, semantic segmentation, object detection, etc. Familiarity with computational imaging techniques image stabilization, superresolution, active optics, etc. Familiarity with payload data processing onboard systems architectures. Familiarity with processing devices and onboard electronics design related to data acquisition and processing functions. Familiarity with procurement of demonstrator units, subsystem integration and testing. Ability to work in an autonomous manner, in particular when providing support to projects with high time allocations and this in coordination with the line manager. General requirements for either role Master in Aerospace Engineering or relevant area of expertise, plus a minimum of 4 years of working experience. Proactive attitude to solving problems. Good organisational skills. A very good working knowledge of spoken and written English is essential. For candidates with less than 10 years experience, please provide the relevant academic transcripts in order to give the TRs a more complete candidate profile at the selection stage. Legal and Security Requirements All applicants must be legally allowed to work in The Netherlands Applicants are required to provide a copy of their passport and degree certificate. Aurora will validate the Degree with the issuing University and provide evidence to ESA. Prior to issuing a letter of employment the applicant shall provide to Aurora a recent official document declaring that they are of good conduct from the country where currently resident. Location The work will be performed at the European Space Technology and Research Centre ESTEC at Noordwijk, The Netherlands. Contract The selected candidate will receive good remuneration in line with ESA Job Class. Will be registered for both social security and tax in the Netherlands. The standard working hours are 40 per week. There are 12 public holidays and an additional 30 annual days holiday. Training to improve efficiency and provide strength for future career are of course included. Aurora assist with relocation both with support and financially. Aurora contributes to a company pension scheme. To be considered for this Position Prior to 6 July 2021, please apply via our Job Application form quoting TECEDP730 RTCTECEFD00730 as reference. Aurora will agree conditional employment terms and conditions with candidates before presenting them by 8 July 2021, 13.00 hours.

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