Operations Research Postdoctoral Researcher

Overview

We have an opening for a Postdoctoral Researcher 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 join a multi-disciplinary team of researchers and contribute to new numerical methods and analysis tools that inform near and long-term strategy and technology decisions. This position is in the Computational Engineering Division (CED), within the Engineering Directorate, in conjunction with LLNL's Cyber and Infrastructure Resilience (CIR) program.

Depending on 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.

In this role, you will

• Develop and extend mathematical programming formulations of core critical infrastructure operations and planning optimization models.
• Design and implement high-performance (parallel) solvers for stochastic, multi-level, and/or decentralized optimization models of critical infrastructure.
• Analyze and mitigate performance bottlenecks in parallel solver implementations.
• Publish research results in external peer-reviewed journals and participate in conferences and workshops.
• Contribute to grant proposals and collaborate with others in a multidisciplinary team to accomplish research goals.
• Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.
• Perform other duties as assigned.

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Ph.D. in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or closely related field.
• Fundamental knowledge of at least one open-source algebraic modeling language (e.g., Pyomo, JuMP).
• Fundamental knowledge of at least one widely used mathematical optimization solver (e.g., HiGHS, Ipopt, Gurobi, CPLEX, Xpress).
• Fundamental knowledge and experience developing software in Python, Julia, and C++ (Python preferred).
• Experience developing specialized algorithms for mathematical optimization problems considering adversarial (multi-level) behaviors, uncertain inputs, or large-scale contexts.
• Publication record in high-quality peer-reviewed journals and/or conferences.
• Proficient verbal and written communication skills to collaborate in a team, present technical information, and document work.

• Experience with high-performance computing systems, specifically MPI.
• Experience applying mathematical optimization to critical infrastructure systems (e.g., electricity grid, natural gas networks).
• Experience processing and analyzing critical infrastructure information.

$122,028 - $143,328 Annually

This is the stated range at the time of posting; pay may be adjusted based on competencies, education, experience, and other factors.

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.

This position requires a Department of Energy (DOE) Q-level clearance. Q-level clearance requires U.S. citizenship. If selected, a Federal background investigation will be initiated to determine eligibility for access to classified information. All L or Q cleared employees are subject to random drug testing.

External applicants selected for this position must 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.

We are an equal opportunity employer committed to providing a work environment free of discrimination and harassment. All qualified applicants will receive consideration without regard to race, color, religion, marital status, national origin, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

We strive to create an accessible and inclusive experience for all candidates applying and interviewing. If you need a reasonable accommodation during the application or recruiting process, please submit a request.

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