Internship: Learning-based Wireless Sensing
Mitsubishi Electric Research Labs, United States
Job Description
The Signal Processing (SP) group at MERL is seeking a highly motivated intern to conduct fundamental research in learning-based wireless sensing using communication signals (such as WiFi, Bluetooth, 5G) and other RF signals (such as FMCW). Previous experience in occupancy sensing, people counting, localization, device-free pose/gesture recognition, and skeleton tracking with deep learning is highly preferred. Familiarity with IEEE 802.11 (g/n/ac/ad/ay)standards is a plus. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, design experiments using MERL in-house testbed, and prepare results for publication. Senior Ph.D. students with research focuses on wireless communications, machine learning, signal processing, optimization, applied mathematics, or related areas are encouraged to apply. The expected duration of the internship is 3 months with a flexible start date. If the situation with the COVID-19 pandemic improves before the internship is scheduled to start, this internship will be held onsite at MERL. Otherwise, it will be done remotely from where you live now
Research Areas: Artificial Intelligence, Communications, Computational Sensing, Dynamical Systems, Machine Learning, Robotics, Signal Processing
Contact: Perry Wang
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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