Science and Technology on a Mission!
For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.
We have an opening for a Postdoctoral Researcher in the field of theory, modeling, and simulation of equation of state (EOS) data. You will develop and implement innovative approaches for representing the EOS of materials. You will also work with experimental and theoretical groups to interpret experimental data, and work with code-development teams to implement improved EOS models in multi-physics hydrocodes. This position is in the EOS Application and Development group in the Condensed Matter Section of the Physics Division.
- Develop and implement analytic and tabular EOS models.
- Generate theoretical EOS data using advanced quantum-based simulation methods.
- Advance the current state of the art in simulations of materials under high-energy-density conditions.
- Work with experimental groups to understand material behavior in the high-energy-density regime.
- Work with computer scientists to develop and implement EOS-related models and capabilities, including the Application Program Interface code.
- Publish research results in external peer-reviewed scientific journals and participate in international conferences.
- Present formal and informal overview of research progress at weekly meetings.
- Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally.
- Perform other duties as assigned.
- Recent PhD in theory of condensed matter, plasma physics, physical chemistry, or related field.
- Experience with quantum simulation codes, e.g. quantum molecular dynamics, quantum Monte Carlo.
- Ability to develop and implement theoretical models for EOS or other materials properties in simulation codes.
- 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, to 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.
- Experience with hydrocode simulations of materials under High Energy Density conditions.
- Experience in research in the High Energy Density regime.
- Experience in programming C++, C, Fortran and Python for large-scale parallel computing applications.
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.
Security Clearance: None required.
Note: This is a two year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.
Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.8 billion, employing approximately 6,500 employees.
LLNL is an affirmative action/ equal opportunity employer. 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, protected veteran status, age, citizenship, or any other characteristic protected by law.