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Atomistic Modeling - Postdoctoral Researcher
Postdoctoral/Fellowship | livermore, CA | 06/11/2021
Job Code: PDS.1 Post-Dr Research Staff 1
Organization: Physical and Life Sciences
Position Type: Post Doctoral
Security Clearance: None (however, assignments longer than 179 days require a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
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 Laboratory’s mission.
We have multiple openings for Postdoctoral Researchers to conduct research on atomistic modeling of heterogeneous interfaces for energy storage and conversion. Focus areas will include simulations of structure, chemistry, and transport at solid-solid and solid-liquid interfaces, with applications including solid-state batteries and the delivery and storage of hydrogen. You will work closely with a multidisciplinary team in support of projects sponsored by the Hydrogen and Fuel Cell Technologies and Vehicle Technologies Offices within the Department of Energy. This position is in the Quantum Simulations Group of the Materials Science Division.
In this role you will
- Perform atomistic simulations of complex solid-solid and solid-liquid interfaces.
- Perform sophisticated searches for global minima of complex potential energy surfaces.
- Perform thermodynamic and kinetic analyses of phase transitions and chemical reactions.
- Develop structure-composition-property relationships for optimizing transport and reactivity using statistical, analytical, and machine learning methodologies.
- Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
- Collaborate with computational and experimental scientists in a multidisciplinary team environment to accomplish research goals.
- Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Document research, publish papers in peer-reviewed journals, and present results within the DOE community and at conferences/technical meetings.
- Perform other duties as assigned.
- Ph.D. in Materials Science, Chemistry, Physics, or a related field.
- Experience in the application of density functional theory to simulations of chemical reactions and/or ion transport in materials.
- Experience performing large-scale ab initio simulations on high-performance computing environments.
- Additional experience in at least one of the following methods: molecular dynamics, cluster expansion, advanced statistical sampling, kinetic Monte Carlo, or continuum simulations, as applied to the abovementioned applications.
- Ability to work independently on technical tasks, influence technical objectives, to provide in depth analysis, and develop unique technical solutions.
- Ability to develop independent research directions and describe results effectively in published peer-reviewed literature.
- Proficient verbal and written communication skills to collaborate effectively in a team environment, prepare written reports and present and explain technical information.
- Interpersonal skills necessary to interact with a diverse set of scientists, engineers and other technical and administrative staff in a collaborative, multidisciplinary team environment.
Qualifications We Desire
- Experience with the development of novel methods for modeling the effects of structure and composition on interfacial chemical and electrochemical reactivity.
- Experience with the application of statistical, analytical, or machine learning methods for optimizing ion transport at interfaces and in solids.
- Experience in developing machine-learning interatomic potentials for complex materials.
Why Lawrence Livermore National Laboratory?
- Included in 2021 Best 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 Career site.
LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory. Some positions will require a DOE L or Q clearance (please reference Security Clearance requirement above). If you are selected and a clearance is required, 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. An L or Q 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.
Pre-Placement Medical Exam
A job related pre-placement medical examination may be required.
Equal Employment Opportunity
LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. 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.
If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form.
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