Lawrence Livermore National Laboratory

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Computational Materials Scientist

Location:  Livermore, CA
Category:  Science & Engineering
Job ID: 104102
Job Code: 
Date Posted: 

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Science and Technology on a Mission!

For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.

We have an opening for a Computational Materials Scientist to independently work on modeling of metal powder-bed fusion additive manufacturing and other technically challenging problems. You will actively participate in developing computational models based on the phase-field methodology applied to problems of non-equilibrium rapid solidification of alloys, alloy design, and microstructure evolution andbe an integral member of a large, interdisciplinary team of experimentalists and computational modelers and developers responsible for conducting and supporting research in additive manufacturing with a high level of scientific rigor and quality. This position is in the Actinide and Lanthanide Science group of the Materials Science Division.

Essential Duties
- Develop, verify, validate, and maintain phase-field codes on LLNL high-performance computers for liquid-solid and solid-solid phase transformations in multicomponent and multiphase systems under conditions ranging from equilibrium to far-from-equilibrium.
- Conduct advanced research to couple phase-field models with upper-scale thermal-profile simulations to develop a multiscale predictive simulation capability.
- Contribute to the establishment of a workflow that feeds into machine learning techniques to optimize additive manufacturing process parameters for targeted alloy design and microstructure.
- Interface with experimentalists to validate models and provide direction and guidance for experimental research work to meet complex program requirements and deliverables.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Develop and present written analyses and verbal briefings that capture and communicate research results, as well as periodic progress reports.
- Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings.
- Perform other duties as assigned.

- PhD in materials science, condensed matter physics, applied mathematics, or a related field, or the equivalent combination of education and related experience.
- Significant experience in phase field, Cahn-Hilliard, and Ginzburg-Landau models; phase-field micro-elasticity theory; phase-field crystal modeling; and first principles–informed phase-field simulations.
- Advanced knowledge in developing and applying phase-field codes to various problems in materials science, including: solidification and microstructure evolution in far-from-equilibrium materials, design and defect-scale optimization of 2D materials, solid-state lithium-ion batteries.
- Advanced knowledge of numerical methods for solving partial differential equations, such as finite difference, finite element, and/or spectral methods.
- Demonstrated ability to independently develop massively parallelized codes using Fortran, C/C++, Python, and advanced numerical solvers.
- Demonstrated ability to develop and perform independent research and participate in the establishment of future research directions.
- Advanced written and verbal communication skills necessary to deliver presentations and prepare written reports, explain technical information, and provide advice to management.
- Advanced interpersonal skills necessary to interact with a diverse set of scientists, engineers, and other technical and administrative staff.

Desired Qualifications
- Knowledge of alloy phase transformations and solidification physics.
- Application of phase-field modeling to biological systems.
- Experience with molecular dynamics and Monte Carlo methods.

Pre-Employment Drug Test:  External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.

Security Clearance:  This position requires a Department of Energy (DOE) Q-level clearance.

If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship.  If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.

Note:   This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

About Us

Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE).  LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance.  The Laboratory has a current annual budget of about $1.8 billion, employing approximately 6,500 employees.


LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.

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