111 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at European Space Agency
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characteristics of military and dual use space systems Behavioural competencies Education A master's degree in engineering or a scientific discipline is required for this post. Additional requirements You should
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or hands-on hardware (including integration) experience Artificial Intelligence and Machine learning techniques for AOCS applications and engineering The motivation for supporting engineering laboratory
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for the following: Standard metrology tools, e.g. laser trackers, theodolites and CMM machines Laser radar Photogrammetry Thermography Alignment methods (contact and contactless) Calibration of light sources for sun
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, supporting teamwork, the exchange of experience and lessons learned, and gathering of feedback; Contributing to the continuous improvement of working procedures, tools, processes, expert working methods and
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; interfacing with the scientific community for mission exploitation; collection and management of the operational and exploitation data; assessment of the mission objectives, lessons learned and recommendations
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experience and lessons learned, and the gathering of feedback; Contributing to the continuous improvement of working procedures, tools, processes, expert working methods and delivery methods (lessons learned
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, recommendations and lessons learned for future phases of Celeste and LEO-PNT in general. You will also be responsible for identifying, assessing, managing and reporting the health and safety risks in your area of
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performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; Strong problem-solving skills to deal with day-to-day operational challenges
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management (Ability to capture, organise, and share knowledge, including lessons learned and best practices, to enable learning, ensure consistency, and improve quality across teams and projects) Behavioural
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participation in reviews Experience in technology roadmap definition and harmonisation Behavioural competencies Education A master’s degree in telecommunications, electrical or computer engineering is required