Design Optimization Engineer - Postdoctoral Researcher

LLNL • Livermore, CA

55d • $122,028 - $143,328 • Hybrid

About The Position

We have an opening for a Design Optimization Engineer - Postdoctoral Researcher to conduct basic and applied research in the optimization, simulation, and design of physical and engineered systems. You will work both collaboratively and independently to extend and develop physics-based design optimization tools. Our team is working to advance the state-of-the-art in support of Laboratory missions. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

Requirements

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• PhD in Engineering, Mathematics, Computational Science, or a related field.
• Experience developing custom simulation tools using continuum discretization approaches (e.g., finite elements) for physical systems.
• Proficiency in programming languages such as C/C++/FORTRAN and scripting languages including Python.
• Fundamental knowledge of HPC and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA.
• Ability to perform independent research.
• Proficient verbal and written communication skills needed to effectively collaborate in a team environment, to present and explain technical information, to document work, and to prepare and present successful proposals and high-quality research papers.

Nice To Haves

• Experience in design sensitivity analysis via direct (forward) and adjoint (backward) methods, shape/topology optimization and other design optimization techniques; familiarity with machine learning and data science techniques.
• Experience simulating and designing systems that involve complex nonlinear, transient, multiphysics models; proficient in nonlinear solvers, and linear algebra concepts for solving challenging linear systems.
• Experience working in a collaborative software development environment, including experience with version control systems, such as Git.
• Adept at tackling complex technical challenges with a logical and analytical approach, working effectively with experts from various fields, and promoting an inclusive and diverse work environment.

Responsibilities

• Develop and implement high-performance computing (HPC) algorithms for the simulation and design optimization of systems governed by nonlinear, transient, multiscale and multiple physical phenomena, including uncertainties in geometry and material properties.
• Contribute to identifying and solving challenging design optimization problems with gradient-based optimization approaches.
• Develop continuum models and implement them in our HPC numerical analysis software to solve the governing partial differential equations of the physical system, to predict design responses of interest.
• Demonstrate our design optimization capabilities and establish credibility with mission customers.
• Document research findings through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field.
• Collaborate with multidisciplinary teams to integrate design optimization tools with other simulation and analysis frameworks.
• Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.
• Stay current with technological advancements by updating and enhancing your knowledge of the latest HPC algorithms, simulation techniques, and design optimization methods.
• Perform other duties as assigned.

Benefits

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (depending on project needs)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree