Lawrence Livermore National Laboratory · 6 hours ago
Senior Operations Research Engineer
Lawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States’ security and is seeking a Senior Operations Research Engineer. This role focuses on energy systems simulation and management, and involves developing mathematical optimization models to support various research and analysis initiatives.
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Responsibilities
Lead and support the development of mathematical optimization models for energy networks, including formulation, implementation, solution, analysis, and communication
Partner with other LLNL scientists and engineers to bring research results to practical use in LLNL Global Security programs
Work closely with other CIR program area leads in developing the CIR program research roadmap
Develop internal and external collaborations and provide input for securing funding sources to meet program goals and objectives
Co-author refereed scientific papers and reports and deliver presentations for audiences internal and external to LLNL
Mentor junior staff members
Perform other duties as assigned
Balance multiple projects/tasks and priorities of customers and partners to ensure deadlines are met
Lead various highly complex projects, effectively leveraging the skills of team members. Serve as a mentor for other staff and assist in recruiting efforts
Serve as a primary technical point of contact with sponsors and partners and participate in development of new program business
Qualification
Required
Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship
Master's degree in physical science, engineering, operations research, applied mathematics, economics or a related field, or equivalent combination of education and related experience
Experience in implementing mathematical optimization problems using algebraic modeling languages, understanding of interfaces with mathematical programming solvers, and ability to computationally exploit structure within optimization problems
Advanced record of technical achievements in mathematical optimization via peer-reviewed technical publications or successful project leadership
Advanced verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, document work, prepare and present successful proposals and high-quality research papers, and provide advice to management
Preferred
Highly advanced experience in one or more of the following areas: mixed-integer programming, branch-bound-and-cut algorithms, branch-and-price algorithms, strong (polynomial- or exponential-sized) formulations and separation, parallel/distributed mathematical optimization techniques, and electric energy systems operations and planning
Subject matter expert knowledge and significant experience as a project manager or principal investigator of projects with differing priorities, loosely defined deliverables, and high visibility
Expert communication, facilitation, and collaboration skills necessary to present, explain, and advise senior management and/or external sponsors
PhD in physical science, engineering, operations research, applied mathematics, economics, or a related field
Demonstrated ability to lead collaborative optimization software projects, both internally as well as in the open domain
Experience working with Department of Energy (DOE), Department of Defense (DoD), and other relevant federal and state government agencies
Benefits
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (*depending on project needs)
Company
Lawrence Livermore National Laboratory
Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.
Funding
Current Stage
Late StageTotal Funding
$11.4MKey Investors
ARPA-EUS Department of EnergyDARPA
2023-11-21Grant
2023-08-14Grant
2022-09-19Grant
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