Design Optimization Engineer - Postdoctoral Researcher @ Lawrence Livermore National Laboratory | Jobright.ai
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Lawrence Livermore National Laboratory · 2 days ago

Design Optimization Engineer - Postdoctoral Researcher

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Responsibilities

Develop and implement HPC algorithms for the simulation and design optimization of systems governed by nonlinear, transient, multiscale, and multiple physical phenomena that include uncertainties in geometry and material properties.
Contribute to solving challenging design optimization problems.
Develop and implement continuum simulations to solve the governing partial differential equations of the physical systems that govern the design response.
Identify and solve challenging design optimization problems highlighting capabilities and establishing credibility with mission customers.
Document research through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field.
Perform other duties as assigned.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Simulation Tools DevelopmentC/C++/FORTRAN ProgrammingPython ScriptingHigh-Performance ComputingMPIOpenMPCUDAIndependent ResearchTechnical WritingProposal WritingProblem-SolvingCommunicationCollaborationDesign Sensitivity AnalysisShape/Topology OptimizationMachine LearningData ScienceSoftware Development

Required

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 simulation tools using continuum approaches (e.g., finite elements) for physical systems.
Experience programming in C/C++/FORTRAN and scripting languages including Python.
Knowledge of high-performance computing 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.

Preferred

Knowledge of design sensitivity analysis via direct (forward) and adjoint (backward) methods.
Knowledge of shape/topology optimization or other design optimization techniques and algorithms.
Exposure to machine learning and other data science techniques.
Experience working in a collaborative software development environment.

Benefits

Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (depending on project needs)
Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
Our core beliefs - visit https://www.llnl.gov/diversity/our-values
Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Company

Lawrence Livermore National Laboratory

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Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.

Funding

Current Stage
Late Stage
Total Funding
$11.4M
Key Investors
ARPA-EUS Department of EnergyDARPA
2023-11-26Grant· Undisclosed
2023-08-14Grant· Undisclosed
2022-09-19Grant· Undisclosed

Leadership Team

G
Greg Herweg
Chief Technology Officer
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D
David Shaughnessy
Deputy Chief Financial Officer
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