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Fusion Materials Computational Materials Science - Postdoctoral Researcher jobs in United States
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Physics World · 2 weeks ago

Fusion Materials Computational Materials Science - Postdoctoral Researcher

Lawrence Livermore National Laboratory (LLNL) is seeking a Computational Materials Science Postdoctoral Researcher to participate in research on the development of refractory high-entropy alloys for fusion energy environments. The role involves developing advanced multi-scale modeling frameworks and collaborating with interdisciplinary teams to enhance the understanding of alloy behavior under radiation conditions.
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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

Atomistic simulation methodsC/C++/Python programmingHigh-performance computingMultiscale modeling frameworksKinetic Monte CarloMolecular DynamicsAnalytical skillsProblem-solving skillsCommunication skillsInterpersonal skillsTeam collaboration

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

Physics World

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Funding

Current Stage
Early Stage
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