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Bachelor's degree completed AND currently enrolled full-time in an accredited college/university program pursuing a Master's or Ph. D. degree in Computer Science, Computer Engineering, Electrical Engineering or related program.
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Our work supports the Department of Defense and focuses on Cybersecurity & Computer Network Operations, data science and analytics, and user experience design. Experience with the X-Midas signal processing environment.
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Are intellectually curious and love researching new and advanced techniques and technologies, from image and digital signal processing to computer vision and machine learning. BA/BS, MS and/or PhD degree in electrical engineering, physics, applied mathematics, computer science, or related technical discipline.
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Highly preferred BS or BA degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or Software Engineering. The team’s primary goal is to design, architect, and implement Digital Signal Processing algorithms on a variety of high-performance processing platforms – including CPUs, FPGAs and GPUs, for next generation radar systems deployed on land and sea.
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The Aerospace Corporation is hiring a Signal Processing Graduate Intern for the Communication Software Implementation Department (CSID) within the Communication Technologies and Engineering Division (CTED.
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Most of our engineers have advanced degrees in Computer Science, Electrical Engineering, Acoustics, Signal Processing, Electronics, or an equivalent field, but if you've followed a different path to expertise in acoustics or sound quality, we still want to hear from you.
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Experience with computer vision, signal processing methods, NLP, deep learning methods. Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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Knowledge of methodologies for deep learning, computer vision, NLP, or signal processing machine learning development. Doctorate degree in Computer Science or Statistics. 2+ years of experience with artificial intelligence, data science, machine learning engineering, data or software engineering research, full stack engineering, or data analytics, including in a professional or academic environment.
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Associate's degree in electronics, computer science, networking, or related field AND six (6) years of related experience such as communications control systems, railway signal and train control systems, aircraft maintenance or power generation/distribution, including one (1) year of supervisory or lead experience in the field.
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Master’s or Doctorate degree holder in Electronic Engineering, Information Systems, Computer Science, Computer Engineering or relevant disciplines with a minimum of 3 years of related experience.
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To Be Successful in This Role, You Will Need: PhD, MS, or equivalent industry experience in a quantitative field such as computational biology, computer science, physics, mathematics, statistics, or electrical engineering.
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Bachelor’s or Master’s degree in either Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Bonus for Digital Signal Processing and/or X-Midas experience.
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Basic Qualifications Bachelor's degree with 4+ years or Master's degree with 2+ years of experience in Computer Science, Electrical Engineer, Physics, or Applied Mathematics. Primary Responsibilities Working with teams on the research, design, and development of sensor exploitation systems including signal processing, sensor exploitation, automatic target recognition, and signature modeling.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Bachelor’s Degree with 5 years of experience, Master’s degree with 3 years of experience, Ph. D. with 0 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields.
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