Academic Graduate Appointee - Cyber and Infrastructure Resilience

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.

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.

• 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.

#LI-Hybrid

Position Information

This is a one-year Academic Graduate Appointee, open to those who have been awarded a degree at the time of the employment offer.

Why Lawrence Livermore National Laboratory?

• Included in 2025 Best Places to Work by Glassdoor!
• FlexibleBenefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visithttps://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test

External applicant(s) 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.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

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To learn more about recruitment scams:https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

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

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

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