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Postdoctoral Research Associate - Structural Simulation And Machine Learning (ML) for Polymer Compos
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- We are seeking a Postdoctoral Research Associate who will support the Composites Innovation Group in the Manufacturing Science Division (MSD), Energy Science and Technology (ESTD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to support the composite manufacturing technologies through machine learning and physics-based simulations, specifically finite element analysis (FEA) for polymer composites.
- The candidate will also focus on developing a manufacturing process optimization framework for polymer composites through physics-based simulations, sensors from machines, and artificial intelligence.
- Our research division carries out high quality R&D focused on the strategic composite material needs of the aerospace, automotive, and marine/shipbuilding industries as well as trending areas of international composite research in material science, mechanical and chemical engineering, and automation.
- Develop Finite Element Method (FEM) models and Machine Learning (ML) codes for Multiphysics simulations with coupled thermal and electromagnetic modules.
- Perform large-scale multi-physics and multi-scale simulations involving heat transfer, mechanical deformation, and electromagnetics modeling for various composite manufacturing processes and complex industrial components
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