- machine learning for predictive maintenance

ZipRecruiter; Cambridge; On-site; GBP 15,000 - 25,000; Full time

Job summary

A leading technology research lab is seeking a motivated Ph.D. candidate for a 3-month internship focused on developing advanced machine learning algorithms for electric machine condition monitoring. Candidates should have a strong background in machine learning and signal processing. The intern will work onsite, collaborating with researchers, preparing technical reports, and contributing to scientific manuscripts. This role offers a flexible start date.

Qualifications

• Strong background in machine learning and signal processing.
• Experience in multi-modal data analysis or domain adaptation is a plus.
• Knowledge of electric machines is a plus.

Responsibilities

• Collaborate with MERL researchers to develop machine learning algorithms.
• Prepare technical reports.
• Contribute to manuscripts for scientific publications.

Skills

Python

Matlab

Education

Ph.D. in Computer Science, Electrical Engineering, or a related field

Job description

Overview

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; experience in multi-modal data analysis or domain adaptation is a plus, 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.

Required Experience

• Experience with Python and Matlab.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to , , , , , , or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on , , , , orientation, or expression, , , genetic information, , or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.