Boeing Engineering & Technology Innovation Graduate Researcher Program, Applied Mathematician Intern
Core
PhD intern developing novel mathematical solutions, research proposals, and decision-making tools for aerospace systems.
Role type
PhD intern (Applied Mathematician)
Builds
robust algorithmic implementations, models, and software for aerospace challenges
Domain
Aerospace engineering + Applied Mathematics
Deliverable
production ML models | research | decision-making tools
Required skills
statistics, numerical methods, data analytics, experimental design, uncertainty quantification, probabilistic modeling, scientific computing programming
Preferred skills
predictive model validation, high-performance computing, optimization, digital twin concepts, multi-physics modeling
Technologies
Python, R, C/C++, NumPy, SciPy, PyTorch, TensorFlow, JAX
Responsibilities
develop novel mathematical solutions, contribute to research proposals, transition technical insights into impactful models and software
Seniority
Intern (PhD candidate)