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Proficiency in Python, MATLAB, and Digital Signal Processing. As a valued member of our team, you will contribute to exciting projects that support the US Department of Defense and NASA. Our team strives to develop, apply, and maintain deep expertise in electrical engineering and embedded systems.
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Knowledge of basic engineering principles as they apply to hardware design, including electronics, wire harnesses, digital computers, computer engineering, power engineering, telecommunications, control systems, robotics, radio-frequency engineering, signal processing, instrumentation, and microelectronics.
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Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC and PMIC, or Battery Management System.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Ph. D., Signal Processing, Computer Science, or related areas Record of working with and influencing both technology and business leaders. In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
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Over 110 ECE faculty members are involved in 11 areas of research and education; bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design; and the School is either home to or a key player in almost 20 research centers and consortia.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Developing PCBbased product features on KLA products (analog, communications, digital signal processing, etc.) Strong electrical engineering and physics fundamentals (analog, optoelectronics design, electromagnetic theory, etc.
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Knowledge of real-time operating systems, digital signal processing, and digital control. Develops embedded firmware on a Digital Signal Processor (DSP) in C/C.
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Fab11X in New Mexico (NM) Disaggregation Manufacturing Organization (DMO) will play an important role in this strategy, where we are bringing up leading edge mixed signal, low voltage Bipolar - CMOS - DMOS (BCD) Technology fit for a wide variety of products such as Power Management Integrated Circuits (PMIC), battery management, analog and digital controllers and more.
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Interest and breadth in several sub-disciplines within EE/ECE, including information and coding theory, digital signal processing, wireless communications, computer architecture, embedded software, embedded security, cryptography, analog design, RF/EM, sensors and antennas, photonics, power systems, and software architecture and design.
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Experience with signal processing techniques and digital data processing. Candidate must possess a Bachelor's Degree from an ABET accredited school in Electrical Engineering, Computer Engineering, Aerospace Engineering, Mechanical Engineering, Software Engineering, Math, Physics, Computer Science or an equivalent degree with 2+ years of applicable experience.
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3) At least 4 months of teaching experience in an academic setting as a teaching assistant, instructor of record, or the equivalent, teaching students from freshman through senior/graduate technical elective levels in signals and systems, communications theory and practice, digital signal processing, wireless networking related course work, or closely related engineering topics.
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Knowledge of one or more of the following: basic RF circuit design and troubleshooting, software defined radios, digital signal processing, electromagnetic propagation, or types of RF and Microwave antennas.
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Advanced coursework or job experience with digital signal processing. Design and verification of real-time signal processing modules for a field-programmable gate array (FPGA) implementation of next generation military GPS receivers.
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