2026 Summer Internship, Scientific Machine Learning for Fluid Dynamics

Job Description

About the Job: 2026 Summer Internship, Scientific Machine Learning for Fluid Dynamics

Date Posted: 2026-03-03
Country: United States of America
Location: US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K
Position Role Type: Hybrid

Security & Eligibility Requirements

• 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” refer to: ecfr.gov link.
• Security Clearance Type: None/Not Required
• Security Clearance Status: Not Required

About RTX and the RTX Technology Research Center (RTRC)

RTX is a leading Aerospace and Defense company, providing advanced systems and services to commercial, military, and government customers globally. Comprising three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon – RTX employs 195,000 individuals dedicated to operating at the forefront of scientific discovery. The company is committed to pushing boundaries in fields such as quantum physics, electric propulsion, directed energy, hypersonics, avionics, and cybersecurity. RTX fosters an environment where all employees are respected, valued, and supported in achieving their professional goals.

The RTX Technology Research Center (RTRC) serves as the innovation hub for RTX. RTRC conducts basic and applied research within a stimulating, multi-disciplinary environment. Here, scientists, engineers, practitioners, and subject matter experts collaborate and exchange knowledge, combining a passion for science and research with precision engineering to create smart, sustainable solutions and products that help shape the future of RTX businesses.

The Internship Opportunity: 2026 Summer Internship, Scientific Machine Learning for Fluid Dynamics

RTRC invites individuals with expertise in scientific machine learning and a comprehensive understanding of computational fluid dynamics to apply for a 2026 Summer Internship position. We are looking for an intern to join a dedicated working group focused on developing advanced modeling capabilities for aero-thermal and high-speed flows.

The successful candidate will collaborate within a multidisciplinary team, encompassing expertise in aerodynamics, aerothermochemistry, computational fluid dynamics, measurement techniques, machine learning, and data-driven modeling. This role expects contributions to the delivery of novel modeling capabilities and innovative technologies through creative analysis and problem-solving. The intern should possess the ability to engage and collaborate effectively in a fast-paced, multi-faceted environment and communicate research results effectively through both verbal presentations 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 the student must be pursuing a Bachelor’s or advanced degree in an applicable discipline.
• Must be a U.S. Person (U.S. citizen, permanent resident, or granted refugee or asylee status) as defined by ecfr.gov link.
• Expertise in scientific machine learning applied to computational fluid dynamics.
• Experience with physics-informed machine learning, foundation models, and/or model discovery.

Qualifications We Prefer:

• Pursuing a Master’s Degree or Ph.D. in applied mathematics or aerospace engineering.
• Adaptability and the ability to thrive in a collaborative environment.
• Excellent communication skills, informal and formal presentation skills, and the ability to foster positive relationships with internal and external partners.
• Ability to manage uncertain requirements, develop approaches to solve problems, and recognize when additional subject matter expertise is needed.

Salary and Benefits

The salary range for this role is 37,000 USD – 82,000 USD. This range is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for a comprehensive benefits package, which can include, but is not limited to: medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit and whether the position is covered by a collective-bargaining agreement.

Additionally, hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and collective-bargaining agreement coverage. Payments under these programs are not guaranteed and are contingent upon individual, business unit, and/or company performance.

This is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

Application Window

RTX anticipates the application window closing approximately 40 days from the date the notice was posted (March 3, 2026). However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

Equal Opportunity Employer

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.