47 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at European Space Agency in Netherlands
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Apply now » Estonian National Graduate Trainee in AI/Machine Learning Mapping of Forestry Biodiversity Job Requisition ID: 20892 Date Posted: 15 September 2026 Closing Date: 1 November 2026 23:59 CET
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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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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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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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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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. You should also have: solid knowledge of artificial intelligence and machine learning techniques, including their limitations, validation challenges and applicability to safety-critical systems
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forums such as the Inter-Agency Space Debris Coordination Committee (IADC) and standardisation bodies such as ECSS and ISO. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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machine learning algorithms. Duties You will report to the Head of Section and within the technical fields described above, your main tasks and responsibilities will include: providing expert technical
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, including image processing and data fusion) for space systems; Mathematical modelling and multi-physics/multi-domain simulation techniques; Machine learning techniques and their application to safety
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ongoing space science research activities at the various ESA sites, and more details about the fellowships, please visit our website: https://www.cosmos.esa.int/web/space-science-faculty