Research Intern - Physical Digital Analytics

General Electric

Job Description Summary

The Physical Digital Analytics group ( is passionate about combining domain models such as FEM, ROM, CFD modeling with Machine Learning, Natural Language Processing, Signal processing, for industrial applications like Medical equipment for the Healthcare, Power (Gas, Wind, Steam), Aviation & Manufacturing sectors to prevent failures in these equipment, increase their life and optimize their performance. The applicant should be highly passionate and an enthusiastic player for solving applied research problems in industrial segments discussed above by building and implementing algorithms for machine learning and deep learning. The applicant should:

  • Be a great teammate and willing to get involved into interdisciplinary research.
  • Learn, with guidance from senior engineering resources the technology needed to understand and produce deliverables that meet business standards and program / product requirements
  • Prepare and present technical data
  • Document and communicate results of technical data generated
  • Prepare invention disclosures to protect the technology that provides a competitive advantage to the business as needed
  • Assure proper documentation of technical data generated for the assigned projects and/or tasks consistent with engineering policies and procedures

Job Description

Required Qualifications:

  • Student pursuing Master’s / PhD degree in Computer Sciences, Electrical, Electronics, Mechanical or related Engineering field or Statistics / Mathematics with some focus in any of these areas Machine Learning/ Signal processing/ Statistics, Mathematical modeling, Operations Research
  • Enthusiastically follow technology trends, engineering best practice and technologies while enjoying the challenge of solving complex problems
  • Good communication skills

Desired Characteristics:

  • The applicant should have some background in the areas of analytics with strong mathematical skills
  • The applicant should have had some coding background in Python / R / similar languages
  • Some exposure to design, analysis, and implementation of algorithms

About Us

GE is the world's Digital Industrial Company, transforming industry with software-defined machines

and solutions that are connected, responsive and predictive. Through our people, leadership

development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Global Research (GRC) is the central research arm for the GE company and is one of the oldest and most diverse industrial research labs. At GE Global Research, we’re redefining what’s possible. From cutting-edge research in molecular pathology for use in personalized cancer diagnostics to programs in creating world’s most efficient gas turbine or world’s largest wind turbine, our work at Global Research is world-renowned. As part of our team, you’ll find yourself among nearly 1500 scientists and engineers from every discipline in a dynamic atmosphere where you’ll be constantly challenged to learn and grow. You’ll have access to leaders on all levels of the organization and collaborate across the globe with the very best in the field. If you have an insatiable intellectual curiosity and the ability to articulate your vision, then join us and watch the work you do create the next generation of products and processes that will impact the globe for generations to come.

At GE Global Research we redefine what's possible, finding answers to some of the world's toughest problems. Find out more at or, and connect with our technologists at and

GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

  • Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.

Additional Information

Relocation Assistance Provided: No

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Confirmed 10 hours ago. Posted 5 days ago.

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