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

Boeing•North Charleston, SC

5d•Onsite

About The Position

Join our exclusive Graduate Researcher Program (GRP) in Engineering & Technology Innovation (E&TI) 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 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. 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. 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 (E&TI), 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 collaborates across multidisciplinary engineering domains, translates theoretical concepts into robust algorithmic implementations, and influences the adoption of mathematical tools that enable safer, more efficient, and more advanced aerospace systems. The successful candidate will gain hands‑on experience developing novel mathematical solutions, contributing to research proposals, and transitioning technical insights into impactful models, software, and decision‑making tools used across Boeing.

Requirements

Completed the first year of PhD studies by July 2027
Ability to work full-time for 10-12 weeks during Summer 2027
Pursuing a PhD in Applied Mathematics, Statistics, Computational Science, Engineering, Data Science, Machine Learning or a closely related field
Strong background in statistics, numerical methods, and data analytics
Demonstrated ability to apply mathematical methods to real-world problems
Experience with designing and analyzing experiments or simulations
Experience with uncertainty quantification and probabilistic modeling
Proficiency in programming for data analysis and scientific computing (e.g., Python, R, C/C++)
Ability to communicate effectively with both technical and non-technical audiences
Must meet U.S. export control compliance requirements. A “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Nice To Haves

Familiarity with software for scientific computing or simulation (e.g., numpy/scipy, PyTorch/TensorFlow/ML frameworks, JAX, and/or domain-specific tools) is helpful but not required
Experience with building and validating predictive models, simulations, and data-analysis workflows with real-world aerospace datasets
Knowledge of uncertainty quantification methods (e.g., Bayesian inference, surrogate modeling, polynomial chaos, Gaussian processes)
Experience with high-performance computing, parallel processing, or scalable data pipelines
Familiarity with optimization, decision analytics, and digital twin concepts
Experience with one or more of the following: statistics software (R), scientific computing libraries (NumPy/SciPy), and programming in Python or R
Exposure to multi-disciplinary or multi-physics modeling is a plus but not required

Responsibilities

Develop novel mathematical solutions.
Contribute to research proposals.
Transition technical insights into impactful models, software, and decision-making tools used across Boeing.