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Field
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-drone system and to the development of a physics-aware digital twin for aerial robotic construction. This digital twin will integrate robot dynamics, aerodynamics, contact interactions, component geometry
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or automated data processing workflows Experience building APIs or data services for large scientific datasets Familiarity with the Model Context Protocol or similar systems for exposing data to AI tools and
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postdoc will therefore investigate how explanations and graph learning methods can be made privacy-aware. This may include studying privacy risks in develoed models, designing explanations that avoid
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research designs, manage data collection in real-world contexts, and turn findings into publishable academic work while retaining actionable insights for policymakers and industry partners. The ideal
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design, develop, and evaluate AI-driven scientific visualization assistants that support intuitive, context-aware interaction with large-scale simulation and experimental data. The postdoc will focus