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of software development, data modeling, simulation, and sensor systems—building tools that improve decision-making, automation, and system performance. You will work with our team to integrate diverse sensor
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image
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in collaborative robotic tasks. Responsibilities include sensor integration, data collection, signal processing, and algorithm development. Perform other duties as assigned or requested by the direct
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approaches to optimize fundamental mathematical signal models for the unique geometry of OPM sensor arrays. Pioneer the development of 2-MEG research studies which involve two people, both monitored by MEG
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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processing software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL
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), this role will focus on advanced navigation technologies, built around a unique laboratory specially designed to test incredibly sensitive navigation sensors. The mission of NRDD is to provide expert
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/FMV, geospatial and AIS tracks, signals and sensor data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality assurance processes while gaining deep exposure
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learning algorithms, building thermal image mosaics, collecting and analyzing thermal datasets, and contributing to research on PV health monitoring. Applicants should have a bachelor's degree in Computer
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, characterization, optimization, and autonomous decision-making. Advance Bayesian optimization, active learning, machine learning, scientific models, genetic algorithms, and AI agents in physical laboratory systems