About the role#
The Applied Mathematics group at Boeing drives innovation through advanced research, algorithm development, and technical consulting. As part of the Engineering and Technology Innovation team, this group applies mathematical methods to solve complex aerospace challenges. You will work alongside a community of mathematicians to translate theoretical concepts into algorithmic implementations and influence the development of systems across the company.
This is a 10-12 week internship for students currently pursuing a PhD. You will participate in the Graduate Researcher Program (GRP), which includes mentorship, Featured Speaker Talks, a GRP Summit, and an Innovation Challenge. Please note that work performed during this internship cannot be used in your PhD thesis.
What you'll do#
- Develop novel mathematical solutions.
- Contribute to research proposals.
- Transition technical insights into impactful models, software, and decision-making tools.
- Participate in GRP programming, including mentorship and networking opportunities.
What you'll need#
- Completion of the first year of PhD studies by July 2027.
- Enrollment in a PhD program for Applied Mathematics, Statistics, Computational Science, Engineering, Data Science, Machine Learning, or a related field.
- Ability to work full-time for 10-12 weeks during Summer 2027.
- Strong background in statistics, numerical methods, and data analytics.
- Experience with designing and analyzing experiments or simulations.
- Experience with uncertainty quantification and probabilistic modeling.
- Proficiency in programming for data analysis and scientific computing, such as Python, R, or C/C++.
- Ability to communicate effectively with both technical and non-technical audiences.
- Familiarity with software for scientific computing or simulation, including NumPy, SciPy, PyTorch, TensorFlow, or JAX.
- Experience with building and validating predictive models and data-analysis workflows using real-world datasets.
- Knowledge of uncertainty quantification methods like Bayesian inference, surrogate modeling, polynomial chaos, or Gaussian processes.
- Experience with high-performance computing, parallel processing, or scalable data pipelines.
- Familiarity with optimization, decision analytics, and digital twin concepts.
- Exposure to multi-disciplinary or multi-physics modeling.
- Must meet U.S. export control compliance requirements as a U.S. Person.
Location & details#
- Location: North Charleston, South Carolina.
- Modality: 100% on-site.
- Employment: Full-time.
- Visa Sponsorship: Not provided.
About Boeing
Boeing designs and builds commercial airplanes, defense products, and space systems. Founded in 1916, the company operates as a public entity with headquarters in Arlington, Virginia. It serves customers across more than 150 countries. The organization employs over 137,000 people.
How to get in at Boeing
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