15 phd-structure-civil Postdoctoral positions at King Abdullah University of Science and Technology
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. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
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· PhD in Materials science, chemistry, physics, polymer science, or related field · Strong background in ferroelectrets, piezoelectric materials, voided charged polymers or piezocomposites
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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students
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to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc
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applications and other emerging technologies. Conduct detailed structural, chemical, and electrochemical characterizations of synthesized hard carbon materials. Analyze material performance using advanced
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applications. Improve material quality by reducing defects and enhancing large-area uniformity and continuity. Perform detailed structural, chemical, and electrical characterizations using XRD, SEM, TEM, Raman
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-based precursors. · Explore innovative methods to enhance material properties for energy storage applications and other emerging technologies. · Conduct detailed structural, chemical, and
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configurations in Energy applications. Lead the development of a unique experimental platform for in-situ characterization under environmental loading of laminated structures. Plan and execute research tasks
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observations and mechanism). Microstructure manipulation for tailoring macroscopic response: Toughing mechanism using surface on involume spatial variations. Structural health monitoring (SHM) and smart