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Center (OTIC) Washington DC Metro Area. The CCI xG Testbed, led by Dr. Aloizio Da Silva, is looking for motivated and talented researchers with expertise in Cellular Communication Network, Open RAN
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have deep experience in wireless communications, deep learning, signal processing, networked systems, and/or software-defined radios such as USRP. The candidates should have a Doctoral Degree in EE/CS
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Mechanical Engineering. Preferred Qualifications Expertise in developing wireless communication modulus for piezoelectric sensors including SAW and BAW sensors. Demonstrated strong experience in
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, reinforcement learning, and/or wireless communications. The candidate should hold a doctoral degree in electrical or computer engineering or related fields. The successful candidate will have a strong publication
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and the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA. The position involves conducting experimental research in the broad scope of wireless communications
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
will have an extensive background in one or more of the following areas: Information theory, structured statistics, reinforcement learning, and/or wireless communications. The candidate should hold a
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, including 5G networks (required). Expertise in wireless communication and 5G networks (required). Proficiency in software development and programming (required). Strong problem-solving and analytical skills
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contingent upon funding. Candidates with experience in the development of wireless power transfer and energy harvesting systems, quantum energy harvesting is preferred, skills in diode, electronics, antennas
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systems, intelligent and autonomous systems; machine learning; environmental sensing; and wireless communications. The EE department has strong support from the College of Engineering and UTA administration
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environments Demonstrated experience with IoT including but not limited to wireless sensor networks, microprocessors, and sensor autonomy Demonstrated experience in VR and/or AR research Demonstrated ability