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CI2068: IoT Network Configuration Design
MERL is seeking a highly motivated and qualified intern to carry out research on energy efficient IoT network design methodology. The candidate is expected to develop innovative network technologies to support energy efficient communications among heterogeneous nodes. The candidates should have knowledge of network technologies such as sleep management and path planning and network simulation tools such as ns3. Knowledge of communication standards such as IEEE 802.11 and 3GPP and UAV 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, Optimization
- Host: Jianlin Guo
- Apply Now
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CI2069: Next Generation IoT Networking
MERL is seeking a highly motivated and qualified intern to conduct research on emerging next generation IoT networking. The candidate is expected to develop innovative networking technologies to achieve efficient network traffic delivery in next generation IoT networks with heterogeneous nodes. The candidate should have knowledge of networking protocols such as multi-path UDP/TCP and network simulation tools such as ns3. Knowledge of the optimization such as optimal network path discovery 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, Machine Learning, Optimization
- Host: Jianlin Guo
- Apply Now
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ST2082: Integrated Sensing and Communication (ISAC)
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, model-based learning, and optimization. Expertise in joint waveform/sequence optimization, integrated ISAC precoder/combiner design, model-based learning for ISAC, and downlink/uplink/active sensing under timing and frequency offsets is highly desired. Familiarity with IEEE 802.11 (ac/ax/ad/ay) standards is a plus but not required. 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, Dynamical Systems, Machine Learning, Optimization, Signal Processing
- Host: Perry Wang
- Apply Now