Lawrence Livermore National Laboratory
Atomistic Modeling of Energy Materials Postdoctoral Researcher
Lawrence Livermore National Laboratory, Livermore, California, United States, 94551
Atomistic Modeling of Energy Materials Postdoctoral Researcher
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 important for continued success of the Laboratory’s mission.Pay Range$113,760 AnnuallyWe have an opening for
Postdoctoral Researcher
to conduct research on atomistic modeling of functional materials for energy applications. Key focus areas include investigating reactivity and transport at heterogeneous interfaces, predicting propensities for materials degradation under operation, and understanding electronic properties of materials under non-equilibrium conditions. You will work closely with a multidisciplinary team in support of projects sponsored by the Basic Energy Sciences and Energy Efficiency & Renewable Energy Offices within the Department of Energy. This position is in the Quantum Simulations Group of the Materials Science Division.This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options may vary based on the needs of the team and the organization.You willPerform first-principles calculations to understand electronic properties of functional materials, as well as their surfaces and interfaces.Perform thermodynamic and kinetic analyses of electrochemical reactions and mass transport at surfaces and interfaces.Develop structure-composition-property relationships for optimizing reactivity, selectivity, and stability 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.QualificationsPh.D. in Materials Science, Chemistry, Physics, or a related field.Experience in the application of density functional theory and/or advanced electronic structure theory.Experience performing large-scale ab initio simulations on high-performance computing environments.Additional experience in at least one of the following methods: machine learning inter-atomic potentials, molecular dynamics simulations, cluster expansion, advanced statistical sampling, kinetic Monte Carlo, microkinetic modeling, tight-binding methods, 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 DesireExperience with high-throughput workflows.Experience with AI approaches for materials discovery and optimization.Experience in developing descriptors for characterizing and predicting interfacial reactions and transport using statistical, analytical, or machine learning methods.Experience in performing grand canonical density functional theory for modeling electrochemical reactions.Position InformationThis is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.Why Lawrence Livermore National Laboratory?Included in 2024 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Inclusion, Diversity, Equity and Accountability (IDEA) - visit
https://www.llnl.gov/diversityOur core beliefs - visit
https://www.llnl.gov/diversity/our-valuesEmployee engagement - visit
https://www.llnl.gov/diversity/employee-engagementSecurity ClearanceNone required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)Pre-Employment Drug TestExternal applicant(s) selected for this position must 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.Wireless and Medical DevicesPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.Equal Employment OpportunityWe are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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.Reasonable AccommodationOur 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 use our online form to submit a request.California Privacy NoticeThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job 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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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 important for continued success of the Laboratory’s mission.Pay Range$113,760 AnnuallyWe have an opening for
Postdoctoral Researcher
to conduct research on atomistic modeling of functional materials for energy applications. Key focus areas include investigating reactivity and transport at heterogeneous interfaces, predicting propensities for materials degradation under operation, and understanding electronic properties of materials under non-equilibrium conditions. You will work closely with a multidisciplinary team in support of projects sponsored by the Basic Energy Sciences and Energy Efficiency & Renewable Energy Offices within the Department of Energy. This position is in the Quantum Simulations Group of the Materials Science Division.This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options may vary based on the needs of the team and the organization.You willPerform first-principles calculations to understand electronic properties of functional materials, as well as their surfaces and interfaces.Perform thermodynamic and kinetic analyses of electrochemical reactions and mass transport at surfaces and interfaces.Develop structure-composition-property relationships for optimizing reactivity, selectivity, and stability 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.QualificationsPh.D. in Materials Science, Chemistry, Physics, or a related field.Experience in the application of density functional theory and/or advanced electronic structure theory.Experience performing large-scale ab initio simulations on high-performance computing environments.Additional experience in at least one of the following methods: machine learning inter-atomic potentials, molecular dynamics simulations, cluster expansion, advanced statistical sampling, kinetic Monte Carlo, microkinetic modeling, tight-binding methods, 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 DesireExperience with high-throughput workflows.Experience with AI approaches for materials discovery and optimization.Experience in developing descriptors for characterizing and predicting interfacial reactions and transport using statistical, analytical, or machine learning methods.Experience in performing grand canonical density functional theory for modeling electrochemical reactions.Position InformationThis is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.Why Lawrence Livermore National Laboratory?Included in 2024 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Inclusion, Diversity, Equity and Accountability (IDEA) - visit
https://www.llnl.gov/diversityOur core beliefs - visit
https://www.llnl.gov/diversity/our-valuesEmployee engagement - visit
https://www.llnl.gov/diversity/employee-engagementSecurity ClearanceNone required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)Pre-Employment Drug TestExternal applicant(s) selected for this position must 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.Wireless and Medical DevicesPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.Equal Employment OpportunityWe are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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.Reasonable AccommodationOur 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 use our online form to submit a request.California Privacy NoticeThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job 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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