Machine Learning for Fluid Dynamics Summer Internship

Date Posted:

2026-03-09

Country:

United States of America

Location:

US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

RTX Technology Research Center (RTRC)

RTX is an Aerospace and Defense company that provides advanced systems and services for commercial, military, and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science, as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics, and cybersecurity. To realize our full potential, RTX is committed to creating a company where all employees are respected, valued, and supported in the pursuit of their goals.

 

RTX Technology Research Center (RTRC) serves as the innovation hub for RTX. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners, and subject matter experts collaborate and exchange experience. By combining a passion for science and research with precision engineering we create smart and sustainable solutions and products that help our businesses shape the future.

 

2026 Summer Internship, Scientific Machine Learning for Fluid Dynamics
RTRC invites individuals with scientific machine learning expertise and comprehensive understanding of computational fluid dynamics to apply for a 2026 Summer Internship position.

We are seeking an intern to join a working group of research engineers who are focused on developing advanced modeling capabilities for aero-thermal and high-speed flows. The successful candidate will collaborate within a multidisciplinary team, including expertise in aerodynamics, aerothermochemistry, computational fluid dynamics, measurement techniques, machine learning, and data-driven modeling. The candidate is expected to contribute to the delivery of novel modeling capability and innovative technologies through creative analysis and problem solving; to possess the ability to engage and collaborate in a fast-paced multi-faceted environment; to communicate research results effectively through both verbal presentation and written publications.

What You Will Do:

• Collaborate within a multidisciplinary team to develop advanced modeling capabilities for aero-thermal and high-speed flows using computational fluid dynamics, machine learning, and data-driven techniques.
• Conduct creative analyses and problem-solving to contribute to the delivery of innovative modeling technologies and solutions.
• Communicate research findings effectively through presentations and written publications to both technical and non-technical audiences.

What You Will Learn:

• Gain hands-on experience in applying advanced aerodynamics, aerothermochemistry, and measurement techniques to solve complex engineering problems.
• Develop expertise in cutting-edge computational tools and methodologies, including machine learning and data-driven modeling for high-speed flow applications.
• Enhance skills in interdisciplinary collaboration and technical communication within a fast-paced research environment.

Qualifications You Must Have:

• Requires a High School Diploma or equivalent and student must be pursuing a Bachelor’s or advanced degree in an applicable discipline.

• U.S. Person (U.S. citizen, permanent resident, or granted refugee or asylee status) as defined here:  https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

• Expertise in scientific machine learning applied to computational fluid dynamics.

• Experience with physics-informed machine learning, foundation models, and/or