Multi-modal Sensor Fusion Intern for Predictive Maintenance

merl; Cambridge (MA); On-site; USD 67,000 - 89,000; Part time

Benefits offered by this job

Relocation stipend

Travel covered

Charlie Card

Health insurance after 90 days

Immigration support

Job summary

Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA invites a self-motivated Ph.D. candidate for a 3-month internship to develop advanced machine learning algorithms that fuse multi-modal time-series data for electric machine condition monitoring and predictive maintenance.

The ideal candidate will have a strong background in ML and signal processing, with a proven publication record. Onsite work is required.

Qualifications

• Strong background in machine learning and signal processing.
• Experience with time-sequence analysis and multimodal sensor fusion.
• Publication record is preferred.

Responsibilities

• Design and develop novel ML algorithms to fuse multi-modal time sequence data for electric machine monitoring.
• Prepare technical reports and contribute to manuscripts for top-tier publications.

Skills

multimodal sensor fusion

Job description

Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA invites a self-motivated Ph.D. candidate for a 3-month internship to develop advanced machine learning algorithms that fuse multi-modal time-series data for electric machine condition monitoring and predictive maintenance.

The ideal candidate will have a strong background in ML and signal processing, with a proven publication record. Onsite work is required.