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proposing approaches to address these gaps as input to the relevant ESA technology roadmaps; contributing to semantic interoperability, i.e. how to use conceptual data models (ontologies) to drive meaningful
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-electronic performance measurements, including the associated instrumentation and data analysis Knowledge of payload technologies and general space science instrumentation Behavioural competencies Result
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Education A master’s degree in telecommunications, electrical or computer engineering is required for this post. Additional requirements A good knowledge of architectures and technology/techniques
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Location ESTEC, Noordwijk, Netherlands Description Laser Engineer in the Optoelectronics Section, Mechatronics and Optics Division, Mechanical Department, Directorate of Technology, Engineering and
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Robotics, control, computer science, computer vision, machine learning and AI, remote operations, human-robot interaction and
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well as knowledge of the internal operations of the Agency or a similar organisation. A demonstrated ability to synthesise technical and programmatic information, provide vision for technology development and
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supporting this development where needed in accordance with the Vigil Science Plan; supporting the Mission Manager during Phase E2 to ensure that: the mission data are fully exploited such that mission
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for the Future Programmes of the Directorate of Navigation in ESA, clear market information and insightful business intelligence are essential to fully understand the underlying movements, trends, initiatives
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optimisation of space trajectories; Relative navigation technology (sensors and techniques, including data fusion) for space systems; Mathematical modelling and multi-physics/multi-domain simulation techniques
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resilient industrial service-oriented architecture. This architecture enables all ESA-managed end-to-end activities needed to generate and make available validated, quality Earth observation (EO) science data