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GE Aerospace Research - Probabilistic Design Fellow Internship

GE Aerospace
Posted a month ago, valid for 17 days
Location

Schenectady, NY 12309, US

Salary

$31.25 - $37.5 per hour

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Contract type

Full Time

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Sonic Summary

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  • GE Aerospace Research is seeking interns for their Probabilistic Design group, where they will apply advanced probabilistic and machine learning methods.
  • Candidates must be currently enrolled in a PhD program in Aerospace Engineering, Mechanical Engineering, or a related field, with a minimum GPA of 3.0.
  • The position offers a weekly salary ranging from $1,000 to $2,000, influenced by the candidate’s experience and education.
  • Interns will collaborate in a multi-disciplinary team to enhance aerospace design and operations through innovative processes and data analysis.
  • GE Aerospace provides a supportive work environment, professional development opportunities, and relocation assistance for qualified interns.

Job Description Summary

Job Description

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.

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.

  • 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.

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).

Relocation Assistance Provided: Yes




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