Postdoctoral Research Associate - Computational Solid Mechanics for Digital Cert/Qual

UT-Battelle; Knoxville (TN); On-site; USD 70,000 - 90,000; Full time

Job summary

UT-Battelle's Oak Ridge National Laboratory is seeking a Postdoctoral Research Associate to advance probabilistic lifting frameworks for high-temperature alloys via multiscale modeling. A strong background in mechanical behavior and constitutive modeling is required, with FE experience (Abaqus/ANSYS, MOOSE, DAMASK).

The successful candidate will collaborate with computational scientists, contribute to proposals and publications, and support certification for advanced manufacturing components

Qualifications

• PhD in materials science and engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years.
• Strong background in mechanical behavior of materials.
• Experience in development and implementation of constitutive models within commercial and/or open-source FE software.
• Demonstrated expertise in multi-physics FE simulations (preferred).
• Experience applying ML/optimization with FE simulations (preferred).

Responsibilities

• Develop nonlinear constitutive models and implement into FE codes.
• Implement crystal plasticity constitutive models into FE codes for additively manufactured alloys.
• Develop probabilistic lifing approaches for additively manufactured materials using multiscale modeling.
• Present results at workshops and publish in peer-reviewed journals.
• Collaborate with computational scientists, experimentalists, and engineers across multidisciplinary teams.

Skills

Multiscale modeling

Mechanical behavior of materials

Nonlinear constitutive models

Crystal plasticity

Machine learning with FE

Optimization with FE

Education

PhD in materials science and engineering or mechanical engineering

Tools

Abaqus

ANSYS

MOOSE

DAMASK

Job description

Overview

We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature alloys and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in commercial (e.g. Abaqus, ANSYS, etc.) and/or open-source finite element (FE) codes (e.g., MOOSE, DAMASK, etc.) is required. Experience with microstructural modeling (e.g. crystal plasticity) applied to fatigue and ductile fracture is preferred. You will be expected to collaborate with research staff and industry partners to support certification and qualification efforts for components produced by various advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL).

As part of our research team, you will engage with researchers of various backgrounds (e.g., materials science, mechanical behavior of materials, heat transfer) and interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and industries. You will also be involved in proposal writing with our scientists while taking the lead in publishing high impact papers.

Major Duties/Responsibilities

• Participate in the development and implementation of nonlinear constitutive models into FE codes.
• Participate in the development and implementation of crystal plasticity constitutive models into FE codes for additively manufactured alloys.
• Participate in the development of probabilistic lifing approaches for additively manufactured materials using multiscale modeling.
• Present and report research results at workshops and conferences and publish key findings in peer-reviewed journals in a timely manner.
• 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.
• 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 – in how we treat one another, work together, and measure success.

Basic Qualifications

• A Ph.D. in materials science and engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years.
• A strong background in mechanical behavior of materials is required.
• Experience in the development and implementation of constitutive models within commercial and/or open-source finite element software is required.

Preferred Qualifications

• Demonstrated expertise in multi-physics FE simulations is preferred.
• Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred.
• 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.

Special Requirements

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.

• Letters of Reference: Please submit two letters of reference when applying to this position.

Eligibility & Security

• Visa sponsorship: Visa sponsorship is not available for this position.
• Security, Credentialing, and Eligibility Requirements: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.

For Foreign National Candidates

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

Benefits

• ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors.
• The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family.
• Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
• Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.