CFD Research is looking to develop and refine machine learning models to predict the performance of diverse Department of Defense (DoD) systems, including aerospace, ground, and naval systems, using their Sage software. These models will serve as fast-running surrogates for more computationally expensive physics-based simulations.
Requirements
- Proficiency with Python and Linux-based operating systems
- Experience working with coupled, multi-physics simulations and data including: external aerodynamics, heat transfer, structural modeling, and aerothermoelasticity
- Familiarity with machine-learning and surrogate-modeling techniques such as: artificial neural networks (ANNs), Kriging, and Gaussian process regression
- Proficiency with compiled languages, especially C++ and Fortran
- Experience with the PyTorch machine learning library
- Knowledge of formal gradient-based and gradient-free optimization techniques
- Experience with multi-disciplinary analysis and optimization (MDAO)
Responsibilities
- Training data-driven surrogate models that approximate a wide variety of physics-based systems using the Sage software
- Exporting and deploying surrogate models into high-throughput applications such as 6DOF simulators, hardware/software-in-the-loop systems, and optimization workflows
- Demonstrating, validating, and verifying surrogate model accuracy
- Working with other engineers to guide and inform physics-based data collection using design of experiments techniques
- Supporting development of new surrogate modeling techniques where necessary
- Generating DoD system performance data using physics-based tools such as computational fluid dynamics (CFD) and finite element methods (FEM)
- Training surrogate models to approximate these physics-based processes
Other
- Candidate must be a U.S. Citizen and meet eligibility to obtain/maintain a SECRET Clearance
- Master's in Aerospace or Mechanical Engineering, Computer Science, or similar
- Ph.D. in Aerospace or Mechanical Engineering, or similar discipline
- Active SECRET clearance
- 100% onsite