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

Company:

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 (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! #TheFutureIsBuiltHere #ChangeTheWorld 

What is Graduate Researcher Program? 

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 (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. 

This position is expected to be 100% onsite.  The selected candidate will be required to work onsite at one of the listed location options.

This position must meet U.S. export control compliance requirements. To 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.

Job Related Information / Basic Qualifications: 

• 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, and 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

 

Preferred Qualifications:  

• 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 

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Shift:

This role is primarily first shift; however, there may be additional shift requirements to support program objectives.

Relocation:

This position offers relocation based on candidate eligibility.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $84,000

University applicants are reminded that this job opportunity is also available on Handshake

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

Safety Sensitive:

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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