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CI1947: Integrated Sensing and Communications for RF-controlled Metasurface
MERL is seeking a highly motivated and qualified intern to jconduct research on advanced signal processing for RF-controlled metasurfaces. The candidate is expected to develop innovative integrated sensing and communications techniques for RF-controlled metasurface-aided various applications. Candidates should have strong knowledge about positioning/localization, tracking, passive beamforming, interference mitigation, and optimization. Proficient programming skills with Python and MATLAB, and strong mathematical analysis will be additional assets to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply. The expected duration of the internship is 3 months, with a flexible start date.
- Research Areas: Communications, Optimization, Signal Processing
- Host: K.J. Kim
- Apply Now
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CI1952: IoT Network Configuration Design
MERL is seeking a highly motivated and qualified intern to carry out research on communications network design methodology. The candidate is expected to develop innovative network technologies to support dynamic IoT networks with heterogenous nodes. The candidates should have knowledge of network technologies such as routing and path planning and network simulation tools such as ns3. Knowledge of communication standards such as IEEE 802 and 3GPP is a plus. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply. Start date for this internship is flexible and the duration is 3 months.
- Research Areas: Communications, Control, Signal Processing
- Host: Jianlin Guo
- Apply Now
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ST1968: Integrated Sensing and Communication (ISAC - WLAN Sensing)
The Computational Sensing team at MERL is seeking a highly motivated intern to conduct fundamental research in integrated sensing and communication (ISAC) with a focus on signal processing for WLAN sensing. Expertise in waveform/sequence optimization, integrated precoding for ISAC, and ToF-Doppler-Angle spectrum estimation using Wi-Fi packets is highly desired. Familiarity with IEEE 802.11 (ac/ax/ad/ay) standards is a plus. Knowledge of Wi-Fi-based localization, occupancy sensing, device-free pose/gesture recognition, skeleton tracking, and multi-modal fusion is an asset. 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. The expected duration of the internship is 3 months with a flexible start date.
- Research Areas: Artificial Intelligence, Communications, Computational Sensing, Data Analytics, Dynamical Systems, Machine Learning, Optimization, Robotics, Signal Processing
- Host: Perry Wang
- Apply Now