Join Lawrence Livermore National Laboratory (LLNL) as a Postdoctoral Researcher in Operations Research to conduct research in stochastic, decentralized, and/or multi-level optimization, with specific application to critical infrastructure systems. You will be part of a multi-disciplinary team of researchers and contribute to new numerical methods and analysis tools that provide insights to inform near and long-term strategy and technology decisions.
Requirements
- 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 scientific journals and participate in conferences and workshops
- Contribute to grant proposals and collaborate with others in a multidisciplinary team environment 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) for mathematical optimization
- 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 developing specialized algorithms for mathematical optimization problems considering either adversarial (multi-level) behaviors, uncertain inputs, or at a large scale
- Publication record in high-quality peer-reviewed journals and/or conferences
- Proficient verbal and written communication skills to effectively collaborate in a team environment, present and explain technical information to technical as well as non-technical audiences, document work and write research papers
- Experience with high-performance computing systems, specifically parallel programming libraries such as MPI
- 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
Benefits
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
