Computational Physicist/Materials Scientist - Postdoctoral Researcher

Lawrence Livermore National Laboratory
Livermore, CA 94550
  • Jobs Rated
    79th

We have an opening for a Postdoctoral Research Staff Member in the field of theory, development, and application of electronic structure methods for the understanding, prediction, and control of materials properties under a wide range of external conditions. The candidate will develop and implement cutting-edge algorithmic approaches for performing electronic structure calculations on some of the world's fastest supercomputers. This position is in the Equation of State (EOS) Capability Development and Application group in the Condensed Matter Section of the Physics Division.

In this role you will

  • Develop and implement algorithmic advances for the optimal use of heterogeneous supercomputers for performing large-scale real-space electronic structure calculations of materials.

  • Generate theoretical EOS data using advanced first-principles electronic structure methods.

  • Advance the current state of the art in simulations of materials under condensed matter and high-energy-density conditions.

  • Work with users to implement desired code capabilities.

  • Work with computer scientists to optimize code for different computer architectures.

  • Publish research results in external peer-reviewed scientific journals and participate in international conferences.

  • Present formal and informal overview of research progress at regular meetings.

  • Pursue complementary research interests and interact with a broad spectrum of scientists internally and externally.

  • Perform other duties as assigned.


  • PhD in physics, chemistry, materials science, or related field.
  • Experience in self-consistent, relaxation, and quantum molecular dynamics calculations.

  • Experience in mathematical and algorithmic formulation of electronic structure methodologies.

  • Experience in prototype implementation and testing of new electronic structure algorithms (e.g. Python, Matlab).

  • Experience in large-scale parallel implementation and testing of new electronic structure algorithms (e.g., C/C++, MPI, OpenMP, math libraries, valgrind).

  • Experience in developing and implementing efficient algorithms on modern computing platforms to solve problems in the condensed matter and/or high energy density regimes.

  • Ability to work independently on technical tasks, influence technical objectives, provide in depth analysis, and develop unique technical solutions.

  • Interpersonal skills necessary to interact with a diverse set of scientists, engineers, and other technical and administrative staff.

  • Proficient verbal and written communication skills to collaborate effectively in a team environment, prepare written reports, and present and explain technical information.

Qualifications We Desire

  • Experience with real-space electronic structure methods.

  • Experience with GPU implementation of computational science codes and GPU math libraries.

  • Experience with collaborative development and distribution platforms (e.g., github).


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.

COVID-19 Vaccination Mandate

LLNL demonstrates its commitment to public safety by requiring that all new Laboratory employees be immunized against COVID-19 unless granted an accommodation under applicable state or federal law. This requirement will apply to all new hires including those who will be working on site, as well as those who will be teleworking.

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.

LLNS is committed to offering reasonable accommodations during the application and recruiting processes due to a disability. If you need assistance or an accommodation due to a disability, please submit a request via online form.

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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.

"},"jobDescription":{"title":"Job Description","text":"

We have an opening for a Postdoctoral Research Staff Member in the field of theory, development, and application of electronic structure methods for the understanding, prediction, and control of materials properties under a wide range of external conditions. The candidate will develop and implement cutting-edge algorithmic approaches for performing electronic structure calculations on some of the world's fastest supercomputers. This position is in the Equation of State (EOS) Capability Development and Application group in the Condensed Matter Section of the Physics Division.

In this role you will

  • Develop and implement algorithmic advances for the optimal use of heterogeneous supercomputers for performing large-scale real-space electronic structure calculations of materials.

  • Generate theoretical EOS data using advanced first-principles electronic structure methods.

  • Advance the current state of the art in simulations of materials under condensed matter and high-energy-density conditions.

  • Work with users to implement desired code capabilities.

  • Work with computer scientists to optimize code for different computer architectures.

  • Publish research results in external peer-reviewed scientific journals and participate in international conferences.

  • Present formal and informal overview of research progress at regular meetings.

  • Pursue complementary research interests and interact with a broad spectrum of scientists internally and externally.

  • Perform other duties as assigned.

"},"qualifications":{"title":"Qualifications","text":"
  • PhD in physics, chemistry, materials science, or related field.
  • Experience in self-consistent, relaxation, and quantum molecular dynamics calculations.

  • Experience in mathematical and algorithmic formulation of electronic structure methodologies.

  • Experience in prototype implementation and testing of new electronic structure algorithms (e.g. Python, Matlab).

  • Experience in large-scale parallel implementation and testing of new electronic structure algorithms (e.g., C/C++, MPI, OpenMP, math libraries, valgrind).

  • Experience in developing and implementing efficient algorithms on modern computing platforms to solve problems in the condensed matter and/or high energy density regimes.

  • Ability to work independently on technical tasks, influence technical objectives, provide in depth analysis, and develop unique technical solutions.

  • Interpersonal skills necessary to interact with a diverse set of scientists, engineers, and other technical and administrative staff.

  • Proficient verbal and written communication skills to collaborate effectively in a team environment, prepare written reports, and present and explain technical information.

Qualifications We Desire

  • Experience with real-space electronic structure methods.

  • Experience with GPU implementation of computational science codes and GPU math libraries.

  • Experience with collaborative development and distribution platforms (e.g., github).

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Computational Physicist/Materials Scientist - Postdoctoral Researcher

Lawrence Livermore National Laboratory
Livermore, CA 94550

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Materials Scientist
79th2019 - Materials Scientist
Overall Rating: 79/199
Median Salary: $99,800

Work Environment
Fair
89/220
Stress
Low
81/220
Growth
Poor
150/220