Summer 2026 - Physics AI Intern (Hybrid)

Date Posted:

2026-03-02

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:

Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position.​ The company will not seek an export authorization for this role.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.

The Advanced Learning and Analytics team researches and develops machine learning, computer vision, reinforcement learning, large language models and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include autonomy, multi-agent coordination, cybersecurity, material discovery and design. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners, and subject matter experts collaborate and exchange experience.

We are looking for summer interns to support research on the broad topic of Physics AI which can be implemented to accelerate the modeling and design of complex engineering systems in aerospace domain.

What You Will Do

• Develop algorithms, implement software, and train models for novel Physics-Informed Machine Learning (PIML) or Scientific Machine Learning (SciML) architectures.

• Incorporate physics into deep learning architectures in a semi-intrusive manner when partial physics models are available.

• Demonstrate the use of PIML to learn spatiotemporal fields from sparse data.

• Implement and operationalize PIML/SciML systems autonomously using agentic AI.

• Design and conduct experiments on GPU clusters, benchmarking performance against established baselines.

• Present research findings through presentations, technical reports, and contributions to top-tier publications.

• Collaborate with a focused team to develop advanced physics AI tools.

What You Will Learn

• Engage with leading researchers at RTRC to deepen your understanding of cutting-edge physics AI concepts.

• Strengthen hands-on experience in large-scale model training, evaluation, and deployment practices.

• Develop skills in effectively communicating research results through presentations, technical writing, and potential contributions to top-tier AI/ML conferences.

Qualifications You Must Have

• Currently pursuing a Ph.D. in Computer Science, Mathematics, or a related Engineering discipline with a focus on physics AI. Candidates must not graduate before December 2026. A copy of your academic transcripts must be submitted with your application.

• At least 1 year of Ph.D.-level research experience in the broad field of physics AI.

• At least 1 year of machine learning software development experience in Python, with proficiency in deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with simulation tools such as ANSYS, COMSOL, or similar platforms.

• Must be authorized to work in the U.S. without sponsorship now or in the future. RTX does not offer sponsorship for this position.

Qualifications We Prefer

• A publication record in top AI and SciML venues such as NeurIPS, ICML, ICLR, SIAM, or AAAI.

• Proven ability to set research direction, work independently, and contribute effectively to collaborative team efforts.

Learn More & Apply Now

This position is classified as hybrid. Please ensure this role type (defined below) is appropriate for your needs before applying to this role. Candidates will learn more about role type and current site status throughout the recruiting process.

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided 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 benefits, including but 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 as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

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

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

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.

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