Postdoctoral Research Associate Simulation and Machine Learning Composite Manufacturing

Overview

We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).

• Develop physics-based computational models, including Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes
• Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple length scales
• Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control
• Integrate simulation tools with in-situ sensor data from manufacturing systems to enable simulation-assisted process monitoring and control
• Support research on advanced composite manufacturing processes such as thermoforming, compression molding, injection molding, and automated fiber placement
• Apply advanced constitutive material models for polymer composite behavior under processing conditions
• Collaborate with multidisciplinary research teams on simulation, manufacturing, and material characterization efforts
• Supervise students and interns supporting modeling and data analysis tasks
• Prepare technical reports, invention disclosures, and peer-reviewed publications
• Present research findings at conferences, program reviews, and technical meetings
• Ensure compliance with environmental, safety, health, and quality program requirements
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service; promote equal opportunity by fostering a respectful workplace

• A PhD in materials science and engineering, mechanical engineering, aerospace engineering, polymer science, or a related discipline completed within the last five years
• Demonstrated expertise in computational mechanics and numerical modeling
• Experience in polymer composite manufacturing processes
• Experience with simulation tools for thermomechanical analysis
• Programming experience in scientific computing environments

• Experience developing Finite Element Method or CFD models for composite manufacturing applications
• Knowledge of machine learning algorithms for engineering systems
• Programming experience in FORTRAN, C, or C++ and scripting experience in Python or similar languages
• Experience with parallel computing environments and Linux-based systems
• Background in topology optimization and structural design
• Experience in thermomechanical characterization of polymer materials
• Demonstrated experimental capabilities and a strong understanding of experimental design, test planning, and data interpretation for polymer composite manufacturing processes, including the ability to translate modeling results into validation experiments and process development strategies
• Familiarity with sensors and data acquisition systems in manufacturing environments
• Strong record of peer‑reviewed publications
• Excellent written and oral communication skills
• Motivated self‑starter with the ability to work independently and participate creatively in collaborative teams across the laboratory
• Ability to function well in a fast‑paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

• For employment at Oak Ridge National Laboratory (ORNL), a Real  form of identification is required.
• Employees must obtain and maintain a federal Personal…