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Pacific Northwest National Laboratory Computational Scientist in RICHLAND, Washington

Organization and Job ID

Job ID: 311968

Directorate: Physical & Computational Sciences

Division: Advanced Computation & Mathematics

Group: Computatioal Data & Engineering

Job Description

The Computational Data and Engineering group at the Pacific Northwest National Laboratory (PNNL) has a history of developing innovative compuitational solutions to problems of national significance in energy, advanced manufacturing, and national security. The Computational Data and Engineering group is currently seeking a Computational Scientist to support their programs in Solid Phase Processing and Nuclear Fuel Fabrication. The position will work with other PNNL scientists and engineers in the development of multiscale models and meshfree methods to simulated the thermo-mechanical behavior of material during solid phase processing. The ideal candidate is a well-organized, self-starter, with a high capacity for attention to detail. Verbal and written communication skills, as well as strong time management skills, are essential in order to balance activities among several concurrently operating projects.

Specific position responsibilities include the following:

  • Develop multiscale models to simulate the material behavior and microstructure evolution during the rolling process

  • Develop meshfree models such as Smoothed Particles Hydrodynamics (SPH) and Diffuse Element Method (DEM) to simulate the thermomechanical behavior of materials under extreme conditions (large deformation, high temperature)

  • Support multiple projects and performing assigned project tasks and meeting deliverables and project milestones on time and within budget, all without appreciable direction.

  • Evaluate experimental results to validate models and writing recurring progress reports. Serve as a lead or contributing author for publications.

Minimum Qualifications

BS/BA with 2 years of experience, MS/MA with 0-2 years of experience, or PhD with 0 years of experience

Preferred Qualifications

  • PhD in Mechanical Engineering / Materials Science / Civil Engineering / Applied Mathematics Computational Sciences or related discipline.

  • Experience working with a diverse set of government and/or industry teams with multiple roles as principal investigator on significantly complex and/or high-risk projects.

  • Experience with solid phase processing of metals, extrusion, high velocity riveting, or other advanced processing methods.

  • Strong background in computational mechanics and finite element

  • Proficiency in scientific programming and skills in using computer software and one or more programming languages, such as C/C++, Python, Matlab or Fortran.

  • Relevant experience with meshfree methods to simulate material behavior under extreme thermo-mechanical conditions

  • Strong experience implementing user-subroutines in LS-Dyna.

  • Excellent problem-solving, organizational and communication skills.

  • Excellent technical writing skills and a track record of peer-reviewed journal publications.

  • Ability to contribute to the development of competitive research proposals to government and private clients

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Directorate: Physical & Computational Sci's

Job Category: Scientists/Scientific Support

Group: Computational & Data Eng Group

Opening Date: 2021-04-08

Closing Date: 2021-04-18