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activation dynamics to study co-contraction patterns and refine joint force estimates. Perform simulations across varying M-Wall radii to assess their effect on gait mechanics, ground reaction forces (GRFs
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in GNSS Phase C/D projects and system engineering is considered an asset. A background in space system design, manufacturing and testing is considered a further asset. Knowledge of modern computer
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existing laboratory facilities, and potentially the ESA Space High-Performance Computer, to demonstrate appropriate technologies, and will actively look for promising application areas and provide
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Advanced control, optimisation and estimation techniques Artificial intelligence and machine learning techniques for AOCS applications and engineering AOCS modelling, AOCS software, AOCS hardware and
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computer programming with experience in developing software for experimental physics application; Understanding of electronic circuits and experience in simulations for the laboratory based project hands
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industrial procurements. Engineering experience in a project or programme will be considered an asset. Knowledge of computer systems and information, planning and coordination tools, such as esa-p, Microsoft
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of concept and related tests in the laboratory facilities and possibly the ESA Space High Performance Computer facility to assess technologies developed; providing AI expertise for the development of AI
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Behavioural competencies Education A master’s degree in computer engineering, space science or space applications is required for this post. Additional requirements Assets for this position include: experience