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OR0217: Internship - Fast Electromagnetic Transient Analysis of Power Grids
Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated Ph.D. student intern to conduct research on electromagnetic transient analysis of power grids. The ideal candidate will have a strong background in power systems, transient analysis, dynamic simulation, converter control, numerical methods, and optimization. Proficiency in MATLAB, Python, or C++ is required. Prior experience with electromagnetic transient analysis will be considered a plus. This internship is expected to last three to six months, with a flexible start date. The pay range for this internship position will be 6-8K per month.
- Research Areas: Control, Data Analytics, Dynamical Systems, Electric Systems, Optimization
- Host: Hongbo Sun
- Apply Now
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OR0248: Internship - Hybrid AC and DC Power Grids
Mitsubishi Electric Research Laboratories (MERL), located in Cambridge, MA, is seeking a highly motivated and qualified individual to join our summer internship program and conduct cutting-edge research on hybrid AC and DC power grids. The ideal candidate is a senior or junior Ph.D. student in Electrical Engineering or a related field with strong expertise in HVDC power systems, power system analysis, power electronics and control, renewable energy integration, numerical methods and optimization. Proficiency in MATLAB, Python, or C/C++ programming is required. The internship is expected to last 3–4 months with a flexible start date, The pay range for this internship position will be 6-8K per month.
- Research Areas: Control, Data Analytics, Dynamical Systems, Electric Systems, Optimization
- Host: Hongbo Sun
- Apply Now
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EA0253: Internship - Fine-tuning Large language models
Mitsubishi Electric Research Laboratories (MERL) is seeking a self-motivated senior Ph.D. candidate in Computer Science or Electrical Engineering for a 3–month internship focused on developing and applying multi-modal large language models (LLMs) with application in anomaly detection, time sequence analysis, and predictive maintenance, etc. The ideal candidate will have a strong background in machine learning and signal processing, with a proven publication record in top conferences and journals. Experience in fine-tuning LLM foundation models is preferred. The intern will collaborate with MERL researchers to design and develop LLM-based frameworks for analyzing multi-modal sensor data, prepare technical reports, and contribute to manuscripts for scientific publications. The start date is flexible.
Required Specific Experience
- Experience with LLMs.
- Multi-modal time sequence data analysis
- Ph.D Candidate
The pay range for this internship position will be 6-8K per month.
- Research Areas: Artificial Intelligence, Machine Learning, Signal Processing, Electric Systems
- Host: Dehong Liu
- 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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EA0222: 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.
Required Specific Experience
- Experience with [specific experience here].
The pay range for this internship position will be 6-8K per month.
- Research Areas: Electric Systems, Multi-Physical Modeling, Optimization
- Host: Yebin Wang
- 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