We have an opening for a Computational Research Scientist to contribute to exciting research within the group that includes: Richtmyer-Meshkov and other instabilities; model development describing fundamental, dynamic processes; and multi-scale and continuum computational investigations of the effect of such processes on bulk system behavior. The position is envisioned to combine physics and optimization expertise to accomplish scientific and programmatic goals. Specific investigations include combining complex hydrodynamics models with computational approaches to facilitate large-scale investigations and machine learning-based design optimization. This position is in the Material Dynamics and Kinetics group of the Materials Science Division.

In this role you will

Conduct advanced research to understand the fundamental phenomena that affect or control dynamic materials properties, including material instabilities, plasticity/strength and phase transformations kinetics.
Contribute to the conception, design, and execution of research to address defined problems.
Engage in scientific and programmatic connections with Laboratory-wide efforts and customers, through the promotion of research advancements that tackle Laboratory missions.
Develop understanding of customers' needs in order to contribute to development and sustenance of funding support for new and existing research both within and outside of LLNL.
Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.
Perform other duties as assigned.

Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
PhD in chemistry, materials science, engineering, mathematics, physics or a related field, or the equivalent combination of education and related experience.
Significant experience in one or more of the following areas areas: Computational multiscale modeling, energetic materials, molecular dynamics, multi-physics, hydrodynamics, non-equilibrium statistical physics, highly dynamic high-pressure physics, optimization, machine learning, or computational inverse problems.
Proven track record as an innovative computational scientist with experience in dynamic materials phenomena or optimization techniques.
An accomplished record of conceiving and executing pioneering multidisciplinary projects.
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 within a collaborative multidisciplinary research environment.

Qualifications We Desire

Experience working with or implementing world-class computational physics and hydrodynamic codes.
Knowledge in fluid dynamics and condensed matter physics.
Demonstration of mentorship of young scientists.

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About Lawrence Livermore National Laboratory

For more than 60 years, the Lawrence Livermore National Laboratory has applied science and technology to make the world a safer place.Livermore’s defining responsibility is ensuring the safety, security and reliability of the nation’s nuclear deterrent. Yet LLNL’s mission is broader than stockpile stewardship, as dangers ranging from nuclear proliferation and terrorism to energy shortages and climate change threaten national security and global stability. The Laboratory’s science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security.

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