Lawrence Livermore National Laboratory · 1 day ago
Fusion Materials Computational Materials Science - Postdoctoral Researcher
Livermore, CA, USA
Full-time
Onsite
New Grad, Entry Level
$119K/yr - $119K/yrLawrence Livermore National Laboratory (LLNL) is seeking a Computational Materials Science Postdoctoral Researcher to participate in research on refractory high-entropy alloys for fusion energy environments. The role involves developing a multiscale modeling framework to predict microstructural evolution in complex alloys under irradiation and collaborating with a multidisciplinary team to achieve program goals.
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Responsibilities
Develop and validate a multiscale simulation framework for radiation-induced defect evolution in complex alloys, focusing on refractory high entropy alloys (RHEAs)
Implement the framework in parallel simulation codes intended to run on LLNL supercomputers
Integrate FP-KMC, on-lattice KMC, and MD methods to achieve atomic-resolution modeling over extended timescales
Parameterize defect migration energies from atomistic simulations and incorporate results into KMC simulations
Perform MD simulations to predict primary damage cascades and point defect production rates
Analyze simulation outputs to predict macroscopic swelling and strain hardening
Interface with experimentalists and AI practitioners to validate models and propose directions for alloys property optimization
Work both independently and collaborate with others in a multidisciplinary team environment to accomplish program goals
Publish research results in peer-reviewed scientific journals and present results at external conferences, seminars, and/or technical meetings
Perform other duties as assigned
Qualification
Required
PhD in Materials Science, Condensed Matter Physics, Nuclear Engineering, Computational Science, Applied Math, or a closely related field
Demonstrated experience in atomistic simulation methods (e.g., Molecular Dynamics, Kinetic Monte Carlo)
Ability to independently develop massively parallelized codes using C/C++/Python and proficiency in high-performance computing environments
Strong analytical and problem-solving skills
Proficient verbal and written communication skills as reflected in effective presentations at meetings and a demonstrated strong publication record
Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment
Preferred
Experience with multiscale modeling frameworks and integration of multiple simulation methods
Familiarity with advanced KMC algorithms for defect evolution and/or discrete event simulations
Background in modeling radiation effects in metals or alloys / high entropy alloys
Experience in the design of algorithms, development of simulation codes, and their implementation and validation
Benefits
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (*depending on project needs)
Company
Lawrence Livermore National Laboratory
Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.
Founded in 1952
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$11.4MKey Investors
ARPA-EUS Department of EnergyDARPA
2023-11-21Grant
2023-08-14Grant
2022-09-19Grant
Leadership Team
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Greg Herweg
Chief Technology Officer
D
David Shaughnessy
Deputy Chief Financial Officer
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