Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people talents ideas experiences and perspectives. This is essential to innovation and creativity for continued success of the Laboratorys mission.

Job Description

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 andKinetics group of the Materials Science Division.

In this roleyou 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.

Qualifications

• 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.

Additional Information

Position Information

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

Why Lawrence Livermore National Laboratory?

• Included in 2022Best Places to Work by Glassdoor!
• Work for a premier innovative national Laboratory
• Comprehensive Benefits Package
• Flexible schedules (*depending on project needs)
• Collaborative creative inclusive and fun team environment

Learn more about our company selection process position types and security clearances by visiting our Careersite.

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected wewill initiate a Federal background investigation to determine if youmeet 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.For additional information please see DOE Order 472.2.

Pre-Employment Drug Test

External applicant(s) selected for this position will be required to pass a post-offer pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Equal Employment Opportunity

LLNL is an equal opportunity employer that is committed to providing candidates and employees with a work environment free of discrimination and harassment. We value and hire a diverse workforce as it is a vital component of our culture and success. 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 pregnancy protected veteran status age citizenship or any other characteristic protected by applicable laws.

LLNL invites you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

At LLNL our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process please submit a request via our online form.

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants employees and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

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