Postdoctoral Research Associate - Large-Scale Simulations for Additive Manufacturing

Requisition Id 13181 

Overview: 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

 

We are seeking a Postdoctoral Research Associate who will contribute to the development of modeling framework and support process development for metal additive manufacturing (AM) processes. 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.

 

Major Duties/Responsibilities: 

• Participate in development of multiscale modeling framework for metal AM processes including wire-direct energy deposition (DED) and powder metallurgy-based manufacturing.
• Participate in development/implementation of integrated, physics-based multiscale 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.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• A PhD in materials science and engineering, mechanical engineering, welding engineering, or a related field completed within the last 5 years
• Extensive experience in the development and application of finite element method (FEM) and discrete element method (DEM) simulation tools for AM applications

 

Preferred Qualifications:

• Demonstrated expertise in multi-physics simulations using FEM and DEM
• Demonstrated expertise in design and implementation of multi-physics codes for metal AM applications, including thermal-mechanical response
• Demonstrated expertise in process development/optimization for part deformation in AM including wire arc and laser wire direct energy deposition (DED) techniques
• 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
• Excellent written and oral communication skills
• Motivated self-starter with the ability to work independently and to 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 for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

 

Special Require