8 parallel-phd-"Computer-Vision-Center" Fellowship positions at European Space Agency
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submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace
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five years of receiving their PhD. In particular for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics
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close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system
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control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line on the theory
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information, please refer to the ESA Core Behavioural Competencies guidebook Education You should have completed within the past five years, or close to completing, a PhD in aerospace engineering
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guidebook Education You must have completed and obtained your PhD before beginning the Research Fellowship. Applications from candidates who have received their PhD in the past five years are preferred
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completion of a PhD in radiation, space physics and/or information technology. Additional requirements Experience in key space radiation environments and effects simulation software (Geant4/GRAS), general
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(within five years), or be close to completion of a PhD in microelectronics and radiation effects. Additional requirements You should have a master’s degree or equivalent qualification in electrical