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The Chief Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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Nice to Have Solid architecture and model-based design skills using UML (SysML a plus) Experience with Enterprise Architect (Matlab/Simulink a plus) Solid understanding of design patterns, data structures and architectures for embedded and real-time software Experience with data processing and signal processing architectures, esp.
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Design and prototype sensor algorithms and sensor signal processing solutions. Experience with signal processing and/or algorithm development. Signal Processing and Algorithm Development.
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Experience in any of the following areas is a plus: GN&C systems, inertial instruments, vibration, signal processing, data acquisition and analysis, control theory, system modeling and test, integration and test of HW and SW elements, electronics-based components and subassemblies (breadboard HW, etc.
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The group believes in collaborative research, and has expertise in multiple technical fields including radar systems analysis, adaptive sensor array and signal processing, RF and optical systems, HF radar and communications, integration and test, embedded programming, real-time software techniques, signal and detection estimation, Kalman filtering, CFAR detection, bistatic radar, real-time signal processing.
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Research Areas: Computational Sensing, Signal Processing. Ideal candidates should be Ph. D. students and have solid background and publication record in any of the following, or related areas: imaging inverse problems, deep learning for inverse problems, large-scale optimization, blind inverse scattering, radar/lidar/THz imaging, joint communications and sensing, multimodal sensor fusion, object or human tracking, sensing of dynamical systems, or wave-based inversion.
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The ISR Division’s projects focus on advanced signal processing, adaptive sensor technologies, advanced algorithms, machine learning, and modeling and simulation for applications that include airborne radar, electronic warfare, and undersea systems.
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Key products include physics-based modeling and simulation tools, system analyses, sensor signal processing algorithms, and real-time prototypes. Experience with radar applications, signal processing, or sensor algorithm development.
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5+ years in classical computer vision techniques, machine learning methods and tools including deep learning, associated frameworks (e.g., PyTorch, TensorFlow, Keras), signal processing modalities (e.g., EO/IR, sonar, radar, lidar, acoustic, LDV), or related.
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The position requires a broad set of analytical and technical skills in the fields of signal processing, algorithm development, computational performance verification, and error analysis.
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Knowledge of digital signal processing, control theory, or mixed-signal hardware systems. Tasking will include participating in the development of high-fidelity sensor models, test development and planning, conducting analysis on sensor packages, and evaluating sensor performance integrated into high-level assemblies and systems.
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As a Principal Signal Processing Engineer, you will leverage your expertise in signal and information processing, with a specific emphasis on sonar and undersea technologies.
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In this role you will develop and apply concepts crossing multiple fields including computer vision, machine learning, signal processing, information visualization, autonomy, data collection/analysis, and vehicle capability enhancement.
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Design and prototype radar algorithms and radar signal processing solutions. Support the demand for MITRE’s radar/sensor expertise through partnerships with internal and external stakeholders, sponsors, and end-users.
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In this role, you'll have the opportunity to develop and implement state-of-the-art signal processing and machine learning techniques, covering areas such as signal detection, classification, autonomous sensor decision-making, radar, electronic warfare, and more.
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signal processing sensor jobs in Waltham, MA
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