Raytheon Technologies Aerothermal Modeler Intern (Summer 2021) in East Hartford, Connecticut
United States of America
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 .
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
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.
Click on this link (http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice) to read the Policy and Terms
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.