LLNL

Operations Research Postdoctoral Researcher

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At a Glance

Location
Livermore, California, United States
Work Regime
hybrid
Employment
Full-time
Posted
2026-03-30T19:18:05.430Z

Key Requirements

Required Skills

Python

Domain Knowledge

  • Education
  • Engineering

Benefits & Perks

Health Insurance

Glassdoor! Flexible Benefits Package 401(k) Relocation Assistance Education

Requirements

Fundamental knowledge of at least one widely used mathematical optimization solver (e.g., HiGHS, Ipopt, Gurobi, CPLEX, and Xpress).

Fundamental knowledge and experience developing software in a high-level language such as Python, Julia, and C++ (Python preferred).

Experience with the application of mathematical optimization to critical infrastructure systems, including electricity grid and natural gas networks.

Experience processing and analyzing critical infrastructure information.

Compensation & Benefits

#LI-Hybrid

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.

Why Lawrence Livermore National Laboratory?

Included in 2026 Best Places to Work by Glassdoor!

Flexible

Responsibilities

in Operations Research to conduct research in the areas of stochastic, decentralized, and/or multi-level optimization, with specific application to critical infrastructure systems.

You will be an integral part of a multi-disciplinary team of researchers, with skill sets ranging from computer and climate science to power and industrial engineering; projects are typically collaborative with partner academic institutions and other national labs.

You will join ongoing efforts in strategic capacity expansion planning and infrastructure interdiction but may also support other research initiatives sponsored by our U.S.

Government partners.  You will work with experienced LLNL scientists and engineers and contribute to new numerical methods and analysis tools that provide insights to inform near and long-term strategy and technology decisions.

The research will be conducted in conjunction with LLNL’s Cyber and Infrastructure Resilience (CIR) program.

Develop and extend mathematical programming (e.g., mixed-integer programming, nonlinear programming, and mixed-integer nonlinear programming) formulations of core critical infrastructure operations and planning optimization models.

About the Company

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.