Boeing Engineering & Technology Innovation Graduate Researcher Program, Applied Mathematician Intern
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At Boeing, we are all innovators on a mission to connect, protect,Ā exploreĀ and inspire. From the seabed to outer space,Ā youāllĀ learn and grow, contributing to work that shapes the world. Find your future with us.Ā
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Join our exclusiveĀ Graduate Researcher Program (GRP)Ā in Engineering & Technology Innovation (E&TI) during the SummerĀ of 2027Ā andĀ you can build something better for yourself, for our customers and for the world.Ā Ā E&TI isĀ 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, skilledĀ scientistsĀ and bold innovators. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorldĀ
What isĀ GraduateĀ ResearcherĀ Program?Ā
The GRP (GraduateĀ ResearcherĀ Program) is aĀ uniqueĀ 10-12 weekĀ internship programĀ designedĀ specificallyĀ for students pursuing their PhD.Ā GRP is a hybrid experience of real-world industry work experience combined with development programming that exposes students to Boeing, its products,Ā servicesĀ and its people.Ā Ā GRP focuses on deeply connecting students to their teamĀ and BoeingĀ through work experience across multiple summersĀ with theĀ goalĀ ofĀ ultimatelyĀ offeringĀ a full-time position at the conclusion of academic studiesĀ if a mutual fit is achieved.Ā Ā
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HowĀ GRPĀ Works:Ā
GRP host teamsĀ postĀ intern requisitionsĀ aligned with Boeingās strategic needs, aiming to matchĀ their needsĀ 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 academicĀ expertiseĀ while contributing to real-world industry challenges and opportunities.Ā
In addition toĀ industryĀ workĀ exposure, students attend GRP programming toĀ furtherĀ broadenĀ their experience andĀ knowledgeĀ ofĀ Boeing.Ā Ā GRP programmingĀ componentsĀ include:Ā Ā mentorship in your field of study,Ā weeklyĀ Featured Speaker Talks, a week-long in-personĀ GRP Summit,Ā participation in anĀ Innovation Challenge,Ā and other opportunities toĀ interact and build a professional networkĀ withĀ other GRP students, Boeing team members,Ā andĀ BoeingĀ leadership.Ā
Please note:Ā Ā The work you do at Boeing can beĀ relatedĀ to your area ofĀ study, butĀ cannotĀ contributeĀ or be used inĀ your PhD thesis.Ā Ā Ā Ā
Who we are looking for:Ā Ā
We are seeking students who will haveĀ completed theirĀ first year of studyĀ in their PhD program by July 2027Ā andĀ are passionate about the aerospace industry and Boeing. GRP students excel at quicklyĀ adapting to their roles, analyzing complex problems, and developing innovative solutions. They thrive in collaborative team environments andĀ possessĀ excellent communication skills.Ā Above all, theyĀ are driven to contribute to the success of their team, fellow GRP students, and Boeing.Ā
2027Ā GRP Position:Ā
The Applied Mathematics group at Boeing is the companyās most concentrated community of mathematicians, driving innovation across the enterprise through advanced research, algorithm development, and technical consulting.Ā Ā
As part of Engineering & Technology Innovation (E&TI), the team appliesĀ cuttingāedgeĀ mathematical methodsāincluding geometry optimization, computational modeling, machine learning, and statistical analysisāto solve complex aerospace challenges and shape future capabilities. The Applied Mathematics team collaboratesĀ across multidisciplinary engineering domains, translatesĀ theoretical concepts into robust algorithmic implementations, and influencesĀ the adoption of mathematical tools that enable safer, more efficient, and more advanced aerospace systems.Ā Ā
The successful candidate will gainĀ handsāonĀ experience developing novel mathematical solutions, contributing to research proposals, and transitioning technical insights into impactful models, software, andĀ decisionāmakingĀ tools used across Boeing.Ā
This position is expected to be 100% onsite.Ā 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 āU.S. Personā as defined by 22 C.F.R. Ā§120.62 is required.Ā āU.S. Personā includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Job Related Information /Ā BasicĀ Qualifications:Ā
Completed the first year of PhD studies by July 2027
Ability to work full-time for 10-12 weeks during Summer 2027 Ā
Pursuing a PhD in Applied Mathematics, Statistics, Computational Science, Engineering, Data Science, MachineĀ LearningĀ or a closely related fieldĀ
Strong background in statistics, numerical methods, and data analytics;Ā demonstratedĀ ability to apply mathematical methods to real-world problemsĀ
Experience with designing and analyzing experiments or simulations, and with uncertainty quantification and probabilistic modelingĀ
ProficiencyĀ in programming for data analysis and scientific computing (e.g., Python, R, C/C++).Ā
Ability to communicate effectively with both technical and non-technical audiences
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Preferred Qualifications:Ā Ā
Familiarity with software for scientific computing or simulation (e.g.,Ā numpy/scipy,Ā PyTorch/TensorFlow/ML frameworks, JAX, and/or domain-specific tools) is helpful but notĀ requiredĀ
Experience with building andĀ validatingĀ predictive models, simulations, and data-analysis workflows with real-world aerospace datasetsĀ
Knowledge of uncertainty quantification methods (e.g., Bayesian inference, surrogate modeling, polynomial chaos, Gaussian processes)Ā
Experience with high-performance computing, parallel processing, or scalable data pipelines.Ā
Familiarity with optimization, decision analytics, and digital twin conceptsĀ
Experience with one or more of the following: statistics software (R), scientific computing libraries (NumPy/SciPy), and programming in Python or RĀ
Exposure to multi-disciplinaryĀ orĀ multi-physicsĀ modeling is a plus but notĀ requiredĀ
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
Language Requirements:
Not ApplicableEducation:
Not ApplicableRelocation:
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 awardShift:
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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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