GE Aerospace Research – Probabilistic Design Fellow Internship
- Location:
- Niskayuna, New York, United States of America
About GE Aerospace
GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft.
Job Description Summary
Job Description
GE Aerospace Research is looking for an intern in our Probabilistic Design group. As a Probabilistic Design Intern, you will you will apply state-of-the-art probabilistic and machine learning methods to deliver world-class solutions. Interns work in a multi-disciplinary team, analyzing, designing, simulating, and optimizing aerospace design, systems, operations, 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 design and operations processes guided by machine learning, probabilistic, and physics-based simulations, and experimental/field data.
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 data for knowledge extraction and actionable insights.
Implementing machine learning, probabilistic design and optimization methods into GE internal design and services tools.
Required Qualifications:
Current enrollment in PhD program, seeking technical degree in Aerospace Engineering, Mechanical 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
Desired Qualifications:
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
The pay range for this position is $1,000-$2,000 USD weekly. The specific weekly rate offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. GE provides travel reimbursement and housing stipend for qualified interns.