GE Aerospace Research - Probabilistic Design Fellow Internship

GE Aerospace • Town of Niskayuna, NY

2d

About The Position

GE Aerospace Research is looking for interns to support 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. Collecting, curating and analyze/processing 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 Aerospace Engineering, Mechanical Engineering or a related field in an accredited college or university.
• Legal authorization to work in the U.S.
• 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 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.
• Collecting, curating and analyze/processing 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.

What This Job Offers

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