Operations Research Postdoctoral Researcher
Core
Develop advanced mathematical models and high-performance solvers for stochastic, decentralized, and multi-level optimization of critical infrastructure systems under uncertainty and adversarial contexts.
Role type
Postdoctoral Researcher in Operations Research
Builds
Numerical methods, analysis tools, and optimization models for critical infrastructure planning and resilience
Domain
National security, critical infrastructure, mathematical optimization
Deliverable
production ML models | research
Required skills
Mathematical programming (mixed-integer, nonlinear), high-performance parallel solver design, algorithm development for adversarial/uncertain problems, software development in Python/Julia/C++, publication record in peer-reviewed journals
Preferred skills
High-performance computing (MPI), application of optimization to electricity grid/natural gas networks
Technologies
Pyomo, JuMP, HiGHS, Ipopt, Gurobi, CPLEX, Xpress, Python, Julia, C++, MPI
Responsibilities
Develop and extend mathematical programming formulations for critical infrastructure operations; Design and implement high-performance parallel solvers; Analyze and mitigate performance bottlenecks in solver implementations; Publish research results in external peer-reviewed journals and conferences; Contribute to grant proposals and collaborate in multidisciplinary teams
Seniority
Postdoctoral, independent research with collaboration
