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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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science, with research experience and peer-reviewed publications on topics of relevance to the proposed fields of research. Your PhD subject should relate to the use of SAR data for forest applications
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted
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structures, materials and control systems function, and to turn these into validated, reusable abstractions for space engineering. In line with this agenda, the research will make use of modern simulation and
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(within the past five years), or be close to completion of a PhD in biology (or potentially another discipline with a solid biomimetics focus), subject to the thesis being relevant to the description