Research Intern - Physical Digital Analytics

About General Electric

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through people, leadership development, services, technology, and scale, GE delivers better outcomes for global customers by speaking the language of industry.

Your role

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

• Be a great teammate and be willing to get involved in 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

Training & development

At GE it is understood how important it is to learn and build the career of young fresh talented people. By introducing several programs like internship programs, apprenticeships co-ops, and rational development programs the candidate will have access to career guidance, leaders, and a community who help each other.

 Over 25% of top GE leaders have undergone these programs

• Rotational assignments for a variety of experiences
• Work content with business impact
• Technical and leadership learning
• Strong peer community
• Active coaching
• Exposure to leaders at all levels.

By introducing women to a wide variety of STEM subjects through real-life applications, the GE Girls initiative aims to show a diverse set of young talent.

Salary & benefits

The average annual salary for the role of the Research Intern - Physical Digital Analytics is around INR 2.0 to 3.0 LPA (Source: Glassdoor). GE provides the following benefits.

• Competitive wages
• Performance-based increase
• Impact awards
• Medical & Dental, based on region
• Healthy well-being programs
• Parental leave
• Global employee assistance programs
• Flexible work arrangement
• Free transport
• Free food
• International Relocation
• Child care
• Education assistance

Work-life balance

Work-life balance is rated at a 3.6/5.0 scale, (Source: Ambition Box), It has a good Inclusive work environment and provides the opportunity for all its employees, globally to work flexibly with work-from-home options if needed.

Culture & vibe

At GE, the people are committed and well advanced in the innovation field. GE has a diverse environment. GE is considered to be a more inclusive place for its workforce by focusing on transparency, accountability, and community.

At GE, over 68% of its employees are from outside the USA, in around 160 countries with a long-standing commitment to fair and competitive pay practices. Men and women who are working in the same cadre or work are paid similarly with a goal of 100% pay equity in their business. By driving a more inclusive culture, GE helps and attracts the top talents through its several retention policies. The diverse culture in GE makes its employees more competitive, which makes everyone do their best as they feel empowered, accepted, and respected in the place they work.

At GE, the Employee Resource Groups (ERGs) have added value to the company by developing the diverse talent needed to build the world by welcoming its employees to learn and grow. A network called WN (women's network) in GE is being developed to attract, inspire, and retain female professional talent. By engaging and developing them in areas like technology, operations, and commercial roles, GE is promoting growth leaders not only in their careers but also for the company's good.

About you

To apply for this role, you must be:

Required Qualifications:

• A student pursuing a 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 modelling, Operations Research
• Enthusiastically follow technology trends, engineering best practices, 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 the design, analysis, and implementation of algorithms

How to apply

To apply for this position, simply click the “Apply” button on this page. All applications at GE must be submitted through their Careers page.

The hiring procedure generally varies according to the job.

• Aptitude Test (online).
• Group Discussion Round.
• Technical Interview.
• HR Interview.