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EA0278: Internship - Hybrid Vehicle Design and Optimal Control
MERL is seeking a motivated and qualified individual to conduct research in analysis and optimization of hybrid vehicles. The ideal candidate should have solid backgrounds in hybrid electrical propulsion system modeling and analysis, optimization, and optimal control. Excellent coding skills on MATLAB and/or python is a necessity. Ph.D. students in aerospace and electrical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.
The pay range for this internship position will be 6-8K per month.
- Research Areas: Control, Electric Systems, Optimization
- Host: Yebin Wang
- Apply Now
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EA0234: Internship - Multi-modal sensor fusion for predictive maintenance
Mitsubishi Electric Research Laboratories (MERL) is seeking a self-motivated Ph.D. candidate in Computer Science, Electrical Engineering, or a related field for a 3-month internship focused on developing advanced machine learning algorithms to fuse multi-modal time sequence data for electric machine condition monitoring and predictive maintenance. The ideal candidate will have a strong background in machine learning and signal processing with a proven publication record. Experience in time-sequence analysis, multimodal sensor fusion, or physics-informed machine learning is preferred. Knowledge of electric machines is a plus. The intern will collaborate with MERL researchers to design and develop novel algorithms, prepare technical reports, and contribute to manuscripts for top-tier scientific publications. This position requires onsite work at MERL, with a flexible start date.
Required Specific Experience
- Experience with multi-modal sensor fusion.
The pay range for this internship position will be 6-8K per month.
- Research Areas: Artificial Intelligence, Electric Systems, Signal Processing, Machine Learning
- Host: Dehong Liu
- Apply Now
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EA0241: Internship - Process Modeling for Factory Automation
MERL is seeking an intern to work on mathematical modeling of manufacturing processes. The ideal candidate will have a strong background in process modeling with Petri nets and other methods, process simulation, and programming in C\C++, python and or other domain specific modeling languages. Experience programming for embedded Linux environments and experience with programmable logic controllers is highly desirable. The internship start date is flexible and the duration is 3-4 months.
Required Specific Experience
- Process modeling with Petri nets
- C\C++, Python
The pay range for this internship position will be 6-8K per month.
- Research Areas: Electric Systems, Robotics
- Host: Bram Goldsmith
- Apply Now