Summary
Mitsubishi Electric Research Laboratories (MERL) is seeking a self-motivated Ph.D. candidate for a 3-month internship focused on developing advanced machine learning algorithms for electric machine condition monitoring. The intern will collaborate with MERL researchers to design and develop novel algorithms, prepare technical reports, and contribute to scientific publications.
Responsibilities
- Develop advanced machine learning algorithms to fuse multi-modal time sequence data for electric machine condition monitoring and predictive maintenance
- Collaborate with MERL researchers to design and develop novel algorithms
- Prepare technical reports
- Contribute to manuscripts for top-tier scientific publications
Skills
- Experience with multi-modal sensor fusion
- Strong background in machine learning and signal processing
- Proven publication record
- Experience in time-sequence analysis
- Experience in multimodal sensor fusion
- Experience in physics-informed machine learning
- Knowledge of electric machines
Qualifications
Must Haves
- Experience with multi-modal sensor fusion
Nice to Haves
- Strong background in machine learning and signal processing
- Proven publication record
- Experience in time-sequence analysis
- Experience in multimodal sensor fusion
- Experience in physics-informed machine learning
- Knowledge of electric machines
Benefits
- MERL provides immigration support for qualified candidates as needed.
- Relocation stipend
- Covered travel to and from MERL
- Monthly Charlie Card for local commuting
- 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