Postdoctoral Research Associate - Large-Scale Simulations for Additive Manufacturing

Date: May 20, 2023

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 10193 


We are seeking a Postdoctoral Research Associate who will contribute to the development of modeling framework and support process development for various additive manufacturing (AM) processes. Thus, the candidate will closely work with groups at manufacturing demonstration facility (MDF). This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes.


The candidate will be a postdoctoral researcher within the Multiscale Materials (MM) group for Physical Sciences Section in CSED. The MM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. The MM group also houses specific strengths in direct numerical simulations (DNS) of interfacial and reacting flows, relevant to material synthesis and manufacturing.


Major Duties/Responsibilities: 

  • Participate in development of multiscale modeling framework for various AM processes including wire- and powder-direct energy deposition (DED) and/or hybrid additive/subtractive manufacturing.
  • Participate in development/implementation of integrated, physics-based multi-scale simulations, and follow team planning, documentation, and verification and validation.
  • Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting basic and applied research in support of the Laboratory’s missions.
  • Author peer reviewed papers, technical papers, and reports for internal and external release as well as represent the organization via technical presentations in workshops and conferences.


Basic Qualifications:

  • Ph.D. in materials science and engineering, mechanical engineering, welding engineering, or a field relevant to the job duties within the past 5 years.
  • Extensive experience in the development and application of finite element method (FEM) simulation tools for AM applications


Preferred Qualifications:

  • Demonstrated expertise in multi-physics simulations using FEM
  • Demonstrated expertise in design and implementation of multi-physics codes for metal AM applications, including thermal, microstructure, and mechanical response
  • Demonstrated expertise in process development/optimization for large-scale metal AM (distortion and residual stress)
  • Experience with multi-physics simulations on high performance computing (HPC) and machine learning (ML)
  • Experience working in a multi-disciplinary research environment
  • Demonstrated written and oral communication skills, a proven publication record, and effective interpersonal skills


Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to with the position title and number referenced in the subject line.


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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 for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.


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This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

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