Mitsubishi - Cambridge, MA
posted about 2 months ago
Full-time - Intern
Cambridge, MA
Transportation Equipment Manufacturing
About the position
MERL is offering an internship focused on conducting research in electric machine fault analysis and detection methods. The role is designed for motivated Ph.D. students with a strong background in electric machines and related fields, aiming to contribute to advancements in fault detection and predictive maintenance.
Responsibilities
- Conduct research on electric machine fault analysis and detection methods.
- Develop and implement electric and magnetic modeling techniques.
- Engage in machine design and prototyping activities.
- Perform harmonic analysis related to electric machines.
- Utilize data analysis and machine learning algorithms for fault detection.
- Collaborate with the research team to publish findings.
Requirements
- Ph.D. student in electrical engineering, mechanical engineering, applied physics, or a related field.
- Solid background in electric machines with a publication record.
- Experience in electric and magnetic modeling, machine design, and prototyping.
- Knowledge of harmonic analysis and fault detection methods.
- Strong programming skills in Python/PyTorch.
- Research experience in modeling and analysis of electric machines.
Nice-to-haves
- Experience with predictive maintenance techniques.
- Familiarity with advanced data analysis methods.
Benefits
- Flexible start date for the internship.
- Opportunity to work on cutting-edge research in electric machines.
