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Boeing Engineering & Technology Innovation Graduate Researcher Program, Applied Mathematician Intern

Job in North Charleston, Charleston County, South Carolina, 29405, USA
Listing for: The Boeing Company
Full Time, Apprenticeship/Internship position
Listed on 2026-09-29
Job specializations:
  • Research/Development
    Data Scientist
  • Engineering
    Data Science Manager, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 71400 - 96600 USD Yearly USD 71400.00 96600.00 YEAR
Job Description & How to Apply Below

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

Join our exclusive Graduate Researcher Program (GRP) in Engineering & Technology Innovation (ETI) during the Summer of 2027 and you can build something better for yourself, for our customers and for the world. E&TI is Boeing's global research and development team developing and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We are engineers and technicians, skilled scientists and bold innovators.

Join us and put your passion, determination, and skill to work building the future! #The Future Is Built Here  #Change The World

What is Graduate Researcher Program (GRP)?

The GRP (Graduate Researcher Program) is a unique 10-12 week internship program designed specifically for students pursuing their PhD. GRP is a hybrid experience of real-world industry work experience combined with development programming that exposes students to Boeing, its products, services and its people. GRP focuses on deeply connecting students to their team and Boeing through work experience across multiple summers with the goal of ultimately offering a full-time position at the conclusion of academic studies if a mutual fit is achieved.

How

GRP Works

GRP host teams post intern requisitions aligned with Boeing’s strategic needs, aiming to match their needs with top PhD talent. Once candidates apply and are selected, they receive an offer to spend the following summer working with their host team. The program is designed to give interns meaningful, hands‑on experience at Boeing, allowing them to apply their academic expertise while contributing to real-world industry challenges and opportunities.

In addition to industry work exposure, students attend GRP programming to further broaden their experience and knowledge of Boeing. GRP programming components include: mentorship in your field of study, weekly Featured Speaker Talks, a week-long in-person GRP Summit, participation in an Innovation Challenge, and other opportunities to interact and build a professional network with other GRP students, Boeing team members, and Boeing leadership.

Please note:

The work you do at Boeing can be related to your area of study, but cannot contribute or be used in your PhD thesis.

Who we are looking for

We are seeking students who will have completed their first year of study in their PhD program by July 2027 and are passionate about the aerospace industry and Boeing. GRP students excel at quickly adapting to their roles, analyzing complex problems, and developing innovative solutions. They thrive in collaborative team environments and possess excellent communication skills. Above all, they are driven to contribute to the success of their team, fellow GRP students, and Boeing.

2027

GRP Position

The Applied Mathematics group at Boeing is the company’s most concentrated community of mathematicians, driving innovation across the enterprise through advanced research, algorithm development, and technical consulting.

As part of Engineering & Technology Innovation (ETI), the team applies cutting‑edge mathematical methods—including geometry optimization, computational modeling, machine learning, and statistical analysis—to solve complex aerospace challenges and shape future capabilities. The Applied Mathematics team…

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