Jobs and Careers

Academic Graduate Appointee - Cyber and Infrastructure Resilience

Lawrence Livermore National Laboratory

United Statesfull_timeVerifiedPosted 8 Aug 2025

💰 $119,400/yr

About the role

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$9,950/month for 710.1

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Job Description

We have an opening for an Academic Graduate Appointee - Cyber and Infrastructure Resilience to work under the guidance of Cyber and Infrastructure Resilience (CIR) program staff members to conduct basic and applied research in optimization models and algorithms for infrastructure security and resilience. You will support LLNL’s CIR program growing research portfolio in civil and defense critical infrastructure protection. This position is in the Optimization and Control Group of the Computational Engineering Division (CED), within the Engineering Directorate.

In this role you will

Work under general guidance of staff engineers to contribute to research in mathematical optimization models and methods for infrastructure security, assist in the implementation of specialized algorithms, and participate on analysis tasks on the topics of infrastructure security, hardening, and resilient operation.
Contribute to the fulfillment of research projects, deliverables, organizational objectives by functioning as an effective member on multi-disciplinary teams.
Collaborate with other Lawrence Livermore National Laboratory (LLNL) scientists and engineers to accomplish research goals by bringing research results to practical use in LLNL Global Security programs.
Offer solutions to technical problems by reviewing scientific and technical literature and experimental techniques.
Engage other scientists frequently to share relevant knowledge, opinions, and recommendations.
Contribute to scientific publications and patent applications.
Perform other duties as assigned.

Qualifications

Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation).
Bachelor’s degree in Mathematics, Computer Science, Industrial Engineering, or a related technical field.
Experience with and demonstrated competence in one or more scientific programming languages, such as Python, Julia, C++, R, Matlab, or Rust.
Demonstrated ability to implement mathematical optimization problems using at least one algebraic modeling language, such as Pyomo (preferred), Gurobipy, JuMP, AMPL, GAMS, among others, and use standard solver packages—such as Gurobi, CBC, HiGHS, or Ipopt, among others—to solve them.
Effective interpersonal skills necessary to collaborate with all levels of personnel in a multi-disciplinary team environment.
Sufficient written and verbal communication skills to prepare, present, explain, and document technical information and publications.

Qualifications We Desire

Familiarity with decomposition techniques in stochastic optimization, such as Benders, ADMM, Progressive Hedging, SDDP.
Demonstrated ability to design specialized algorithmic approaches for challenging mathematical optimization problems.