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Knowledge of algorithms/DSP/AI/ML (e.g. signal processing including traditional, statistical, image/video; feature extraction, natural language processing, machine learning concepts (model training, network architectures / complexity, performance expectations, data science including data mining.
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As a member of our team, you'll help us build groundbreaking digital and RF circuits for the special operations and intelligence communities to address challenging national security problems and enable planning and decision making in domains as diverse as active threat deterrence, signal intelligence, cyber operations, machine learning, image processing, and applied data analytics.
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Knowledge of various sensor modalities (e.g. EO/IR (LW/MW/SW/NIR), acoustic, magnetic, passive RF, active RF) and modeling of these modalities. Performance limitations and tradeoffs of variety of hardware processing platforms.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Our systems range from massive RF processing systems to small, low-power systems designed for specialized application. Are proficient with high-speed digital, analog, and RF printed circuit board design and integration.
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The ideal candidate will have experience in one or more of the following: radio frequency (RF) communication systems, RF data collection and analysis, signal processing algorithms, electromagnetic (EM) modeling and simulation, antenna design, software defined radio (SDR), artificial intelligence (AI) and machine learning (ML) methods, edge computing, and sensor systems.
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Python, Radar, Tracking, Resource Management, Image Processing, Algorithms, State Estimation, Kalman Filter, Bayesian Probability, Internal Map Modelling (IMM), Multi-Hypothesis Tracking (MHT), Signal Processing.
$116,480 - $208,505 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Background/experience in one of the following areas: signal processing, image/video processing, machine learning, computer vision, computational hardware, RF hardware, software development, "big data" processing, scientific computing skills (MATLAB, python.
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The department’s faculty and researchers are active in the areas of analog and RF electronic circuits, communication and signal processing, computer and digital systems, computer vision and image processing, control systems, machine learning, electromagnetics, remote sensing, microwaves, optics and photonics, nanotechnology and electronic materials, robotics, intelligent transportation, networking, sustainable energy, and power systems.
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Demonstrable experience and expertise in signal processing and image analysis. Our group participates in signal and data analysis, radio frequency (RF) applications, and ionospheric modeling.
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Hands-on experience in product testing, algorithm development, optical image/signal processing, RF/Radar signal processing, numerical optimization, and Monte Carlo simulation.
InternExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Prior experience deploying image and signal processing algorithms for various sensing modalities, including SAR, electro-optical imagery, RF, or others. Work closely with software engineers to develop and enhance data processing pipelines, enabling efficient ingestion, transformation, and distribution of geospatial data.
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Experience with Graphics Processing Unit (GPU) in context of developing scientific computing, machine learning (ML), Natural Language Processing (NLP), and image processing applications.
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Experience with Imaging EO/IR/RF systems, energy transport, or radar physics, signal processing or discrimination algorithms. Course work or experience in signal & image processing, digital communications, or estimation theory.
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Research and develop advanced machine learning algorithms and techniques in application areas including radar, electronic warfare, sonar, SIGINT, RF geo-location, and image processing.
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Tasking will be assigned to leverage the existing skills of the candidate, to include physics-based modeling, application of advanced mathematical techniques for data processing, digital signal processing, image processing, signals analysis, radar system modeling, and radar performance prediction.
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