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 to conduct research on materials for superconducting circuits, particularly for applications in quantum sensing and information. You will actively participate in performing ab initio simulations of material surfaces and interfaces to discover relationships between defects at interfaces and material response for quantum application; advanced methodology will include density functional theory and beyond, molecular dynamics, and realistic descriptions of solid-solid interfaces at the atomic scale. This position is in the Quantum Simulations group of the Materials Science Division.
- Perform large-scale ab initio simulations of complex solid surfaces and solid-solid interfaces.
- Analyze dielectric, magnetic, and/or charge response of defects at interfaces.
- Contribute to developing mesoscale models of materials response for multiscale models.
- Collaborate closely with a multidisciplinary team to evaluate dominant sources of decoherence in superconducting quantum devices.
- Contribute to and actively participate in the conception, design and execution of research to address defined problems.
- Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Collaborate with scientists in a multidisciplinary team environment to accomplish research goals.
- Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.
- Perform other duties as assigned.
- Recent PhD in Materials Science, Physics, Chemistry, Chemical Engineering, Electrical Engineering, or related field.
- Experience in one or more of the following areas: ab initio surface science simulations, simulations of solid-solid interfaces, molecular dynamics simulations, kinetic Monte Carlo, dielectric and/or magnetic response of materials.
- Understanding of the concepts of density functional theory and related quantum mechanical methods.
- Experience in quantum and/or classical molecular dynamics simulations.
- Understanding of the design and operation of quantum information and sensing devices.
- Ability to develop independent research projects through publication of peer-reviewed literature.
- Proficient verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures.
- Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.
- Experience performing large-scale ab initio simulations on high-performance computers, or constructing realistic interface atomic structure models.
- Ability to develop code in a variety of languages, including C/C++, FORTRAN, and/or Python, with experience on massively-parallel computing platforms.
Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.
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.