98 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at European Space Agency
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on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
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Knowledge of EO space mission operations and operations planning Knowledge of specific characteristics of military and dual use space systems Behavioural competencies Education A master's degree in
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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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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials
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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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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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communication skills; the ability to drive your team’s performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; strong problem-solving
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Product Assurance and Safety policy and contributions to corporate tasks (such as reviews, standardisation, alerts, lessons learned, etc.), you will report to the Head of the Quality Department through
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for space applications; Leading the centre of excellence for advanced simulation methods including scientific data processing and databases, software applications including human-computer interfaces, support