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Raytheon Technologies Aerothermal Modeler Intern (Summer 2021) in East Hartford, Connecticut

Date Posted:

2021-03-24-07:00

Country:

United States of America

Location:

RC1: United Tech Research Center 411 Silver Lane, East Hartford, CT, 06108 USA

The Aero & Acoustics Discipline team at Raytheon Technologies Research Center is searching for a student intern familiar with machine learning applied to physical sciences in support of new aero-thermal research. Our team is focused on developing new and innovative solutions to enhance the efficiency, operability, and durability of a wide range of aerospace and defense products . The primary responsibility of this role is to support the design and implementation of data-driven and physics-informed neural networks. The intern will work closely with the team to design, implement, and demonstrate deep neural networks to augment predictive capabilities in fluid dynamics .

Primary Responsibilities:

  • Design, implement, and evaluate deep neural network architectures for aero-thermal applications

  • Work closely with cross-functional research teams to evaluate the effectiveness of predictive capability

  • Present research accomplishments in the form of a demonstration and written publication

    Basic Qualifications:

  • Preferred candidate is actively pursuing an advanced degree (Master's or PHD) in an applicable discipline. A minimum GPA of 3.0 is required

  • Must be a U.S. Person

  • Mechanical or Aerospace Engineering is highly preferred

  • Self-motivated with high energy

  • Excellent communication skills

    Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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