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The Electrical and Computer Engineering Department ( at the University of California, Santa Cruz (UCSC) invites applications for an Assistant Professor position in the area of Signal Processing and Systems.
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Proven experience in hardware engineering, with a focus on analog and digital signal processing, embedded firmware development, and RF communications. Utilize analog and digital signal processing techniques in the design of hardware systems for medical, manufacturing and IoT platforms.
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Desired experience includes analog to digital signal processing, underwater acoustics analytics, Fast Attack Submarine Sonarman Experience, and Submarine Total Ship Monitoring System operation (TSMS.
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Relevant coursework includes but is not limited to Digital Signal Processing, Analog to Digital Processing, Signal Analysis, Filter Design, Digital System Design, Linear Electronics, Signals & Systems, Data Structures, Non-Linear Vibrations, Power & Propulsion, Acoustics, etc.
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Currently has, or is in the process of obtaining, a PhD degree in engineering: audio, acoustics, physics, mechanical, electrical, signal processing or related field. Knowledge of digital signal processing and adaptive theory.
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Knowledge of and experience with signal processing, time-series analysis, biosensor systems, and analyzing biomedical dataAcademic research experience in DL and ML with published articles or minimum of 2 years of industry experience with focus on DL/ML algorithmsProficient in Python, and familiar with ML/DL libraries like scikit-learn, Tensorflow, PyTorch, Keras, etc.
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Many areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, IoT are highly relevant to our research.
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Familiarity with spacecraft communication systems, RF design, and digital signal processing. Proficiency in electrical engineering principles, including circuit design, power electronics, and electromagnetic compatibility (EMC.
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As an electrical engineer on these programs, you will join a highly collaborative, multi-disciplinary team of signal processing and software engineers who are developing state-of-the-art technology that advances government technology from seabed to space.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
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Proficient in at least three of the following: applied mathematics, physics, electrical engineering, software design, signal processing, image processing, machine learning, reinforcement learning, numerical analysis, statistics, geospatial data processing, robotics, or distributed computing.
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Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience.
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Typically requires a Bachelor's degree in Electrical Engineering or related Science, Technology, Engineering or Mathematics (STEM) degree discipline and a minimum of 10+ years of experience in one or more of the following areas: Digital Signal Processing with experience in digital noise cancellation, Kalman filters, and multi-rate signal processing for communication systems.
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Matlab, Verilog, ARM); knowledge of electrical engineering principles as applied to audio engineering, mixed signal, and power electronics; the ability to use various lab equipment (such as oscilloscopes, audio analyzers, spectrum analyzers, electronic power supplies and loads); and knowledge of circuit and PCB design.
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Trideum Corporation has an opening for a Mid-Level Electrical / RF Engineer with software development experience supporting multiple programs in Huntsville, AL. The selected candidate will have the opportunity to work on cutting edge Artificial Intelligence programs, and support implementation and development of digital signal processing of Software Defined Radio (SDR) systems.
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