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Up to one (0-1) year of experience in developing sensors with technical skills including thin-film device design and fabrication; polymer and soft materials engineering; sensor front-end, analog circuit design; embedded systems design; flexible circuits layout; signal processing, and programming.
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Familiarity with one or more of the following: aerodynamic systems, orbital mechanics, signal processing, sensor systems, and RF or EO/IR physics. Java, Python, MATLAB, or Fortran, and a desire to use these tools 50%+ of the time to implement physics-based models and analyses.
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Experience in characterization, and validation of sensing systems that includes theory of operation, signal processing, fabrication, packaging, and design trade-offs. Familiarity with MEMS sensor technologies such as inertial sensor performance metrics, inertial sensor usage and limitations, and system integration are a major plus.
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Develop proof-of-concept signal processing, image processing, and data exploitation tools in MATLAB, Python, and C. Software development of algorithms supporting Signal and Image Processing, State Estimation, and Classification in Python and C.
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In order to perform end-to-end wireless system performance analysis, you need to collaborate with multi-functional teams to model, simulate, and visualize the performance of complex sub-system blocks from user movement, wireless propagation models, and RF/antenna behavior, via PHY/MAC protocols and associated signal processing mechanisms, all the way to simulating sensor fusion processing.
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Proficient in the theory of operation, signal processing, fabrication, packaging and design trade-offs. Expertise in simulation, data collection, data analysis, and statistical analysis tools (e.g., ANSYS Multiphysics, MATLAB, JMP, Python.
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One emphasis of your specific role will be end-to-end modeling and simulation of sophisticated wireless systems, including but not limited to radio propagation channel, RF/antenna, PHY/MAC, and sensor fusion schemes.
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At least twelve years of experience in systems engineering, data analysis or digital signal processing. Collaborate with customers in Department of Defense as well as industry to define system capabilities and functionality for radar, electronic warfare/communication, and other sensor systems.
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Knowledge of sensor technologies and diagnostic/monitoring solutions for chronic diseases, especially in the cardiac spaceKnowledge of statistics and advanced signal processing techniques (e.g. time frequency analysis, statistical signal processing, adaptive signal processing)Proficiency in MATLAB, Python or other scripting languageKnowledge of human physiologyTeam player with good communication skills - written, verbal, and interpersonalQuality System Requirements.
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The successful applicant will join ATR's Engineering Services Division, working as a Digital Signal Processing (DSP) Engineer/Data Scientist at the Naval Surface Warfare Center South Florida Ocean Measurement Facility, (SFOMF) located near Ft. Lauderdale, FL. Applicant will work as part of a research, design, test, and evaluation team, who will develop systems to acquire surface & sub-surface ocean sensor data and fused into a coherent picture for monitoring the underwater ocean environment.
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Roles and ResponsibilitiesStaff Radar Systems Engineers develop parametric representations, visualizations, and data-driven analyses to support sensor requirements definition and use-case validation, including waveform and signal processing implementation.
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As the Signal Processing Lead, you will provide technical direction and leadership for developing and integrating signal processing algorithms and sensor models into the Integrated Flight Simulation (IFS.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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You will support Advanced Technology Radar and EW programs including research and development of advanced digital signal processing (DSP) algorithms; high-fidelity radar and RF modeling, simulation, and analysis; integration and field testing of RF sensors and systems; and CONUS/OCONUS deployment of advanced sensor systems.
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Experience working with Matlab, Python, or similar scientific-based programming tools to implement math or science based phenomenology related to linear systems, digital signal processing, tracking, or electromagnetics are valued.
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