ML Internship: Multi-Modal Sensor Fusion for Maintenance

Mitsubishi Electric Research Laboratories; Cambridge (MA); On-site; USD 66,960 - 89,280; Full time

Benefits offered by this job

Relocation stipend

Covered travel to and from MERL

Monthly Charlie Card for commuting

Health insurance eligibility after 90 days

Professional development opportunities

Job summary

A leading research laboratory in Cambridge is seeking a self-motivated Ph.D. candidate for a 3-month internship focusing on developing advanced machine learning algorithms for electric machine condition monitoring. Candidates should have a strong machine learning background and experience in multi-modal sensor fusion. Interns will collaborate with researchers, prepare technical reports, and contribute to scientific publications. The position requires onsite work with a pay range of $6,000 to $8,000 per month.

Qualifications

• Strong background in machine learning and signal processing.
• Proven publication record.
• Experience with time-sequence analysis and physics-informed machine learning is preferred.

Responsibilities

• Develop advanced machine learning algorithms for electric machine condition monitoring.
• Collaborate with MERL researchers on algorithm design.
• Prepare technical reports and contribute to scientific publications.

Skills

Machine learning

Signal processing

Multi-modal sensor fusion

Time-sequence analysis

Education

Ph.D. candidate in Computer Science or Electrical Engineering

Job description

A leading research laboratory in Cambridge is seeking a self-motivated Ph.D. candidate for a 3-month internship focusing on developing advanced machine learning algorithms for electric machine condition monitoring. Candidates should have a strong machine learning background and experience in multi-modal sensor fusion. Interns will collaborate with researchers, prepare technical reports, and contribute to scientific publications. The position requires onsite work with a pay range of $6,000 to $8,000 per month.