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Apply Now How to Apply Applications should be submitted through Interfolio at https://apply.interfolio.com/179362 . Only materials submitted through the Interfolio link will be reviewed. Do not
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Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data
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to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
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. Optimal sensor placement, identified through adjoint-based sensitivity analysis to improve assimilation efficiency. By embedding physical laws into data assimilation, these methods bridge the gap between
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device characterization and calibration methods to mitigate these sources of systematic errors. Essential Job Duties Design, engineering, and optimization of imaging sensors and their operating modes
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of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences
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range (beyond 24 keV): measure and validate reference data in synchrotron beamtimes together with our international collaborators. Advance solid-state monitors: deploy new diamond sensors, model
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orbital sensors (e.g., ECOSTRESS, VIIRS, Landsat/MODIS) to build pre- and post-fire structural and functional diagnostics. Develop recovery chronosequences from multi-sensor time series and quantify
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-quality validation module based on optical detection and light-profile analysis. The candidate will define quality metrics, implement monitoring systems using cameras and sensors, and develop computer
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled