Research Scientist: Computational Multiphysics Fidelity Modeling

Founded in Santa Barbara in 2003, AIMdyn, Inc. is a woman-owned small business developing predictive modeling, artificial intelligence, and world-modeling technologies for large-scale complex engineering, natural science, and social science problems. AIMdyn supports government, commercial, and academic customers, including DARPA, the Air Force Office of Scientific Research, and the Office of Naval Research. Visit  to learn more.

• AIMdyn, Inc. is seeking a Research Scientist or Research Engineer with strong expertise in physics-based modeling, computational multiphysics, and high-fidelity simulation. The successful candidate will provide physical and computational modeling expertise for research involving complex systems represented by heterogeneous high-fidelity models.
• This role is intended for a scientist or engineer with deep understanding of the physics underlying computational models. The candidate will work with high-fidelity model outputs spanning multiple physical domains and help determine how those models can be interpreted, reduced, coupled, and composed while preserving the relevant physical behavior.
• The successful candidate will work closely with AIMdyn researchers developing reduced-order and data-driven models. They will serve as a subject-matter expert on the underlying physics, assumptions, interfaces, and numerical characteristics of high-fidelity models, helping bridge detailed computational physics with fast predictive modeling and digital-twin technologies

• Analyze and interpret data generated by high-fidelity physics-based models and simulations.
• Provide subject-matter expertise in computational physics and multiphysics modeling across domains such as aerodynamics, structural mechanics, thermal systems, propulsion, fluid-structure interaction, flight controls, and actuation.
• Characterize the governing physics, state variables, parameters, boundary conditions, constitutive assumptions, and relevant spatial and temporal scales associated with high-fidelity models.
• Identify physically meaningful interfaces and coupling variables between heterogeneous models and physical subsystems.
• Assess conservation properties, interface conditions, physical constraints, and assumptions that must be preserved when models are reduced or composed.
• Evaluate simulation datasets for physical consistency, numerical artifacts, inadequate excitation, convergence issues, or other limitations that may affect downstream modeling.
• Support verification and validation of reduced and composed models against high-fidelity simulation data.
• Help define appropriate test cases, operating regimes, parameters, and physical quantities for assessing model performance.
• Develop computational analyses, prototypes, and tools in support of multidisciplinary research programs.
• Clearly communicate modeling assumptions, limitations, physical interpretation, and technical results to interdisciplinary research teams and external collaborators.

• M.S. or Ph.D. in Aerospace Engineering, Mechanical Engineering, Computational Engineering, Engineering Science, Applied Physics, Computational Physics, or a closely related technical discipline.

• Strong foundation in physics-based mathematical and computational modeling.
• Demonstrated experience with high-fidelity numerical simulation and computational engineering.
• Strong expertise in one or more areas such as:
• Structural mechanics and finite element analysis (FEA)
• Heat transfer and thermal-fluid systems
• Propulsion or reacting-flow modeling
• Multiphysics or multidisciplinary simulation
• Working knowledge of PDE-based physical models, numerical discretization,…