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Mission For the 1 PhD position starting in 2026 summer (flexible) , we are seeking a candidate with experience in iontronic materials . Examples include stimuli-responsive soft materials
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equivalent) in geomatics, geography, data science, environmental engineering, quantitative urban planning, or a related field; Strong interest in African cities and sustainable urban development issues
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Mission The Data-Driven Mechanics Laboratory invites applications for a fully funded PhD position at the intersection of computational mechanics, multiphysics of geomaterials, and interpretable
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design of novel materials. This is part of a large ERC Synergy project involving de novo simulations, automated experimental platforms driven by AI models. It offers extraordinary opportunites to
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reinforced concrete and unreinforced masonry buildings. Our approaches include numerical and mechanical modeling, large-scale testing as well as data-driven methods. The PhD candidates will contribute to
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ETHZurich. The project investigates how biologically driven mineralization can transform demolition and excavationmaterials into materials suitable for digital fabrication under ambient conditions. Digital
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-making under uncertainty. Prior experience with process systems engineering or process control, physics-informed or hybrid modeling, explainable AI, or the verification and safety assurance of
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Mission We are seeking a candidate with experience in numerical modeling of nanostructured materials to join our SNSF project “Coupled oscillations in plasmonic crystals”. In this project, we focus
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approaches (ML&AI), data-driven approaches, multi-objective and multi-disciplinary optimization, constraint handling methodologies, and systems engineering. Engineering background in energy conversion systems
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
across the design, construction and operational phases of buildings, and define information requirements and data structures for exchanging geometry, materials, environmental indicators, measured