Computational Aeroelasticity & Aerothermoelasticity Development
Contribute to the development, verification, validation, and deployment of advanced aeroelastic simulation capabilities, including:
Low-Fidelity Methods
•Panel methods, Doublet Lattice Method (DLM), and Vortex Lattice Method (VLM)
•Generalized aerodynamic force generation
•Linearized and frequency-domain aerodynamic modeling
Medium-Fidelity Methods
•Hybrid CFD-panel methodologies
•Reduced-order and surrogate modeling
•Transonic correction techniques
•Time-domain aeroelastic formulations
•Flexible vehicle dynamic simulation methods
High-Fidelity Methods
•CFD-based aeroelasticity using Euler and Navier-Stokes solvers
•Fluid-structure interaction (FSI) and CFD-CSD coupling
•Nonlinear aeroelasticity and aerothermoelasticity
•High-speed and hypersonic aeroelastic analysis
Support the development of solutions for:
•Static and dynamic aeroelasticity
•Flutter prediction
•Divergence and control reversal
•Gust response and aeroservoelasticity
•Buffet response and limit-cycle oscillations
•Nonlinear aeroelastic behavior
Work with senior technical staff to transition advanced research concepts into production-quality commercial software.
Hypersonic & High-Speed Flight Simulation
Contribute to the development of simulation technologies for high-speed and hypersonic vehicle applications, including:
•Hypersonic aerodynamics and aerothermodynamics
•Shock-wave/boundary-layer interactions
•Thermal-structural coupling and aerothermoelasticity
•High-temperature flight environments
•Flight stability and control at high Mach numbers
Participate in the implementation and validation of numerical methods such as:
•Piston theory
•Supersonic and hypersonic aerodynamic methods
•Shock-expansion techniques
•Reduced-order models
•CFD-based aeroelastic methodologies
Prior research experience in one or more of these areas is highly desirable.
Multidisciplinary Simulation & Structural Dynamics
Collaborate with structural dynamics, CFD, and multiphysics development teams to build integrated simulation workflows.
Contribute to:
•Modal analysis and structural dynamics
•Dynamic response analysis
•Eigenvalue extraction methods
•Coupled aerodynamic-structural simulations
•Thermal stress and buckling analyses
•Large-scale finite element modeling
Support applications involving:
•Commercial and military aircraft
•Rotorcraft and UAVs
•Hypersonic vehicles
•Space and launch systems
•Advanced aerospace and defense platforms
Scientific Software Development
Develop robust and scalable commercial software capabilities, including:
•Numerical algorithms and solver development
•Scientific software architecture
•APIs and workflow automation
•Multiphysics integration frameworks
•Verification and validation methodologies
•Automated testing and continuous integration practices
Participate in the full software development lifecycle from research prototype to commercial product deployment.
High-Performance Computing
Contribute to the development and optimization of scalable simulation technologies using:
•Parallel computing concepts
•MPI, OpenMP, GPU, or accelerator technologies
•Cloud and distributed computing environments
Optimize algorithms for large-scale engineering simulations and advanced aerospace workflows. Prior experience is beneficial but not required.
Customer & Industry Engagement
Work with technical experts, product teams, and customers to:
•Understand aerospace simulation requirements
•Support technical demonstrations
Required Qualifications
Education
•Ph.D. with outstanding research experience in Aerospace Engineering, Mechanical Engineering, Applied Mechanics, Computational Engineering, or a related field.
•Research specialization in computational aeroelasticity, aerodynamics, CFD, structural dynamics, or multidisciplinary simulation.
Experience
•0–5 years of industrial experience, or equivalent graduate/postdoctoral research experience.
•Demonstrated research experience in aeroelasticity spanning low to high speed flight regimes.
•Experience developing research software, computational tools, or numerical simulation capabilities.
•Ability to translate research concepts into practical engineering solutions.
•Record of technical publications, research projects, or thesis work in relevant areas.
Technical Skills
Aerodynamics
•Knowledge of potential flow methods, panel methods, DLM, or VLM
•Understanding of subsonic, transonic, supersonic, or hypersonic aerodynamics
•Familiarity with CFD fundamentals and numerical methods
Aeroelasticity
•Coursework or research in flutter, dynamic aeroelasticity, gust response, or aeroservoelasticity
•Familiarity with aeroelastic modeling and reduced-order methods
•Exposure to aerothermoelasticity or high-speed aeroelasticity is a plus
Structural Dynamics & FEA
•Modal analysis and structural dynamics fundamentals
•Finite element methods and numerical analysis
•Dynamic response and eigenvalue analysis
Software Development
•Programming experience in C++ and Python.
•Experience developing scientific or engineering software leveraging AI
•Experience in software engineering best practices
High-Performance Computing
•Familiarity with parallel computing concepts
•Exposure to MPI, OpenMP, CUDA, GPU computing is desirable
Professional Skills
•Strong analytical and problem-solving abilities
•Passion for computational engineering and simulation technology
•Ability to learn new technical domains quickly
•Excellent written and verbal communication skills
•Ability to work effectively in multidisciplinary teams
•Customer-focused mindset with strong collaboration skills
