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

About the Position

Bring your ideas to life at Boeing. Join our exclusive Graduate Researcher Program (GRP) in Engineering & Technology Innovation (E&TI) during the Summer of 2027 and 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

Responsibilities

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

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, 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

Nice to Have

• Familiarity with software for scientific computing or simulation (e.g., numpy/scipy, PyTorch/TensorFlow/ML frameworks, JAX, and/or domain-specific tools)
• 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

We Offer

• Competitive salary starting at $84,000
• Relocation based on candidate eligibility
• Comprehensive benefits package including health insurance, retirement savings plans, and more
• Opportunities for professional growth and development

About the Company

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.

Application Details

• Job ID: JR2026523704
• Category: Business
• Role Type: Onsite
• Post Date: Sep. 08, 2026
• Application Deadline: Oct. 09, 2026

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.

Visa Sponsorship: Employer will not sponsor applicants for employment visa status.

Equal Opportunity Employer: 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.