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EA0070: Internship - Multi-modal sensor fusion
MERL is looking for a self-motivated intern to work on multi-modal sensor fusion for health condition monitoring and predictive maintenance of motor drive systems. The ideal candidate would be a Ph.D. candidate in electrical engineering or computer science with solid research background in signal processing and machine learning. Experience in motor drive system is a plus. The intern is expected to collaborate with MERL researchers to collect data, explore multi-modal data relationship, and prepare manuscripts for publications. The total duration is anticipated to be 3 months and the start date is flexible.
Required Specific Experience
- Experience with multi-modal sensor fusion.
- Research Areas: Data Analytics, Electric Systems, Machine Learning, Signal Processing, Artificial Intelligence
- Host: Dehong Liu
- Apply Now