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missions. Our team and mission The European Space Agency maintains a world-leading Science Programme with missions in heliophysics, planetary science, astrophysics, and fundamental physics. Within ESA’s
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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that are still far from mainstream space engineering but could become disruptive in the future. The team operates to high academic standards, publishes in peer-reviewed journals and conferences, and has built a
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of novel EO solutions. We offer: a stimulating multinational, interdisciplinary and open work environment; access to high-performance computing infrastructure and unparalleled EO and technology expertise; a
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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research Education You should have recently completed (within the past five years), or be close to completion of a PhD in applied mathematics, computational science, physics, engineering or a closely related
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return; supporting the concept of open science by making the link between the open source processors, open validation tools, open reference data and the open platform: the Mission Algorithm and Analysis
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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becoming part of mainstream space engineering, but might prove disruptive in the future. The team operates to high academic standards, publishes in peer-reviewed journals and conferences, and has built up a