Computational Optimization Postdoctoral Researcher
LLNL
About this role
The Computational Optimizer role involves conducting research on advanced optimization models and scalable solvers for critical infrastructure systems under uncertainty, with an emphasis on mathematical programming, high-performance computing, and interdisciplinary collaboration. It is a postdoctoral position focused on developing innovative decision-making tools within a multidisciplinary team at LLNL.
Skills
Qualifications
About LLNL
llnl.govLawrence Livermore National Laboratory (LLNL) is a U.S. Department of Energy national laboratory in Livermore, California, that applies advanced science, engineering, and technology to solve complex national security and societal challenges. Its work spans nuclear deterrence and stockpile stewardship, nonproliferation and homeland security, high-performance computing and AI, fusion energy (including the National Ignition Facility), and research in materials, biosciences, and climate. LLNL partners with government agencies, industry, and academia to translate research into practical solutions, drive technology commercialization, and develop the next generation of scientists and engineers.
About LLNL
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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Salary
$126k – $169k
per year
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