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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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for sensor networks, i.e. Kalman filter approaches Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations Collaborate with
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optimize sensor deployment and autonomy in sea, ground, air and space environments Assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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, developing, and evaluating advanced ML algorithms and systems, leading technical execution across research programs, and advancing capabilities from early-stage concepts through prototype demonstration
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are seeking a Principal Electro-Optic and Infrared (EO/IR) Systems Engineer to join our Sensors, Signals, and Software Department in the Electro-Optics and Electronics division located in Freeport PA
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equipment. You will ensure sensors are calibrated and will implement, improve, and interpret data quality assurance algorithms. You will also produce reports as needed for distribution to agricultural
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in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar transponders, and advanced sensor fusion technologies apply AI/ML to improve detection and
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government agencies (OGAs). As part of your routine tasks, you may be required to: Assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar