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We have an opening for a Postdoctoral Researcher to conduct basic and applied research in the continuum simulation and modeling of liquid drop-on-demand printing processes. You will work independently to both apply and extend commercial/opensource/LLNL software tools to develop physics-based simulation code in focus areas including volume-of-fluid and Arbitrary Lagrangian Eulerian (ALE) simulations of droplet printing processes. This position is in the Computational Engineering Division (CED) of the Engineering Directorate.
- Conduct modeling and simulation of droplet jetting processes, including droplet break-up, morphology, flight dynamics, heat transfer, and solidification.
- Employ and extend continuum (i.e., finite volume or finite element) commercial, open-source, and/or LLNL simulation codes to implement models and perform droplet simulations.
- Develop computational models and perform analyses of applications involving coupled structural, fluid, thermal, and/or chemical phenomena.
- Work with engineers and scientists to identify and solve challenging simulation and modeling problems.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings.
- Perform other duties as assigned.
- Recent Ph.D. in engineering, mathematics, computational science, or a related field.
- Experience developing or modifying simulations using continuum (finite-element/ finite-volume) approaches for flow physics problems.
- Knowledge of finite element methods or finite volume methods in both theory and application.
- Experience programming in C/C++, FORTRAN, Python or similar languages.
- Knowledge of analysis, modeling and simulation tools.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
- Experience developing continuum simulations for modeling two-phase systems using volume-of-fluid or Arbitrary Lagrangian-Eulerian (ALE) approaches.
- Experience with coupled fluid flow and heat-transfer simulation, including simulation of liquid solidification processes.
- Experience with massively parallel computing and significant experience in C and C++ programming.
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: This position requires a Department of Energy (DOE) Q-level clearance.
If you are selected, 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. Q-level clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.
Note: This is a one year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are those who have been awarded a PhD 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 $2.1 billion, employing approximately 6,800 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.