GE Aerospace Research - Material Informatics Fellow Internship

GE Aerospace • Elgin Township, IL

3d • Onsite

About The Position

GE Aerospace Research is looking for an intern in our Material Informatics group. As a Material Informatics Intern, you will apply state-of-the-art materials informatics and probabilistic methods to deliver world-class solutions. Interns work in a multi-disciplinary team, analyzing, designing, simulating, testing, and optimizing materials systems and processes. Applications include turbo machinery, electrical machinery, storage devices and similar mechanical systems. Your work will include: Collaborating with GE business design and services communities to drive system performance improvement through new materials and processes guided by machine learning, probabilistics, computational material simulations, and high throughput experiments. Applying machine learning and probabilistic design and optimization methods to real-world industrial applications for New Product Introduction (NPI), New Technology Introduction (NTI), design and services maintenance planning. Collect, curate and analyze and process materials data for knowledge extraction and actionable insights. Implementing machine learning, probabilistic design and optimization methods into GE internal design and services tools.

Requirements

• Current enrollment in PhD program, seeking technical degree in Materials Engineering or a related field in an accredited college or university.
• Legal authorization to work in the U.S.
• Must be willing to work from the GE Aerospace Research office in Niskayuna, NY.
• Minimum GPA 3.0 / 4.0 scale

Nice To Haves

• Exceptional academic performance
• Excellent organizational, analytical, and problem-solving skills, and thorough attention to detail
• Ability to adapt to change and willingness to be flexible in a global team environment
• Effective presentation and technical communication skills; ability to articulate technical problems in clear and simple terms

Responsibilities

• Collaborating with GE business design and services communities to drive system performance improvement through new materials and processes guided by machine learning, probabilistics, computational material simulations, and high throughput experiments.
• Applying machine learning and probabilistic design and optimization methods to real-world industrial applications for New Product Introduction (NPI), New Technology Introduction (NTI), design and services maintenance planning.
• Collect, curate and analyze and process materials data for knowledge extraction and actionable insights.
• Implementing machine learning, probabilistic design and optimization methods into GE internal design and services tools.

Benefits

• GE provides travel reimbursement and housing stipend for qualified interns.
• GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation.
• GE Aerospace 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.
• GE Aerospace will only employ those who are legally authorized to work in the United States for this opening.
• Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree