IoT Network Anomaly Detection
About The Position
MERL is seeking a highly motivated and qualified intern to conduct research on multi-hop IoT network anomaly detection and analysis. The candidate is expected to develop innovative network anomaly detection technologies that can proactively detect and analyze network failure in multi-hop IOT networks. The candidate should have knowledge of LLM/ML and anomaly detection. Knowledge of network log analysis and network protocol a plus. Start date for this internship is flexible and the duration is about 3 months.
Requirements
- Junior and senior year Ph.D candidates
Nice To Haves
- Knowledge of network log analysis and network protocol
Responsibilities
- Research on anomaly detection in multi-hop IoT networks
- Develop innovative network anomaly detection and analysis technologies
- Simulate and analyze the performance of developed technology
Benefits
- In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting.
- Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers.
- Interns who meet the 90-day waiting period are also eligible for health insurance coverage.
- MERL provides immigration support for qualified candidates as needed.
- Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.
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What This Job Offers
Career Level
Intern
Industry
Professional, Scientific, and Technical Services
Education Level
Ph.D. or professional degree
Number of Employees
101-250 employees
