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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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radiation simulation toolkits such as Geant4 and its application, GRAS (Geant4 Radiation Analysis for Space). ESA is a signatory member of the international Geant4 Collaboration together with CERN and a
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that can inform and enable such concepts, for example in autonomous operations, scientific data analysis or intelligent payloads; benefit from, and contribute to, the technology and engineering expertise
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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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topics such as Hamilton-Jacobi Bellman equations, stochastic optimisation frameworks, game-theoretical analysis of space logistics, high order automated differentiation, neural and Hamiltonian ODEs, data
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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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be involved in the scientific activities of the Science Section within at least one of the following thematic priorities (please indicate your preferred theme in your proposal). Data-driven and AI
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, neuroscience or biomaterials into direct dialogue with experts in space systems, mission analysis, artificial intelligence and control, to co-create new concepts for space exploration. You are strongly