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this role, you will study buried interfaces, defects, and charge-transfer processes in vertically integrated semiconductor structures. The research will focus on low-dimensional and emerging materials
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. Interface with other staff working in related areas including vibroacoustic signal analysis, signal processing, optical fiber sensing, and general instrumentation. Document results in technical reports
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. The position offers the opportunity to work at the interface of model development, observational data synthesis, and emerging AI/ML methods, in close collaboration with researchers from the SPRUCE (Spruce and
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. The position offers the opportunity to work at the interface of model development, observational data synthesis, and emerging AI/ML methods, in close collaboration with researchers from the SPRUCE (Spruce and
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user interfaces. Record of peer-reviewed publications, conference presentations, or other research accomplishments. Experience working in multidisciplinary research environments involving both domain
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measure success. Basic Qualifications: A PhD in Chemistry, Physics, Materials Science or a related field completed within the last 5 years. Preferred Qualifications: Experience with interface battery
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and hardware interfaces for LiDAR, inertial measurement units, RGB or stereo cameras, wheel odometry, survey-grade laser scanners, and additional sensing systems. Develop robust procedures for sensor
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analyzing and interpreting experimental data to drive product innovation, as well as obtaining and calibrating simulation parameters based on laboratory results. Regular interfacing between experimental and
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following areas is of particular interest: (a) Advanced functional materials, including polymer composites, dielectric materials, thermal interface materials, and multifunctional materials. (b) Heat transfer
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Integration group within NCCS. Specific areas of research interest include: Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications