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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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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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landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project reviews conducted since the introduction
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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 engineering
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-based Earth system simulations and predictability science: developing advanced data-driven methods to exploit the large amount and variety of EO data products to better reconstruct and simulate complex
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to conduct research autonomously General interest in space and space research Ability to gather and share relevant information Behavioural competencies Education You must have completed and obtained your PhD
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/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or current research/activities Ability to gather and share relevant information General interest in space and
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research areas; Proficiency in computer programming and data analysis. You should have good interpersonal and communication skills and should be able to work in a multicultural environment, both
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a passion for new subjects and research areas; Proficiency in computer programming and data analysis. You should have good interpersonal and communication skills and should be able to work in a
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able to work individually on your own personal research plans and directions; • Natural curiosity and a passion for new subjects and research areas; • Proficiency in computer programming and data