EA0183: Internship - machine learning for predictive maintenance

Mitsubishi • Cambridge, MA

81d

About The Position

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 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, while experience in multi-modal data analysis or domain adaptation is preferred and knowledge of electric machines is a plus. The intern will collaborate with MERL researchers to design and develop novel machine learning 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.

Requirements

• Ph.D. candidate in Computer Science, Electrical Engineering, or a related field.
• Strong background in machine learning and signal processing.
• Proven publication record.
• Experience with Python and Matlab.

Nice To Haves

• Experience in multi-modal data analysis.
• Experience in domain adaptation.
• Knowledge of electric machines.

Responsibilities

• Develop advanced machine learning algorithms for electric machine condition monitoring and predictive maintenance.
• Collaborate with MERL researchers.
• Prepare technical reports.
• Contribute to manuscripts for top-tier scientific publications.

What This Job Offers

• Career Level: Intern
• Industry: Transportation Equipment Manufacturing
• Education Level: Ph.D. or professional degree