PhD Optimizing evacuation decisions under infrastructure failure
Core
Developing multi-stage optimization models for pre-disaster evacuation decisions on critical road and shelter infrastructure subject to failures to assess resilience against climate-related hazards.
Role type
PhD researcher in Operations Research (Disaster Resilience & Optimization)
Builds
Robust evacuation planning models, algorithms, and computational methods validated via hydrodynamic simulations.
Domain
Climate resilience, flood risk management, Operations Research, Network flow
Deliverable
production ML models | research
Required skills
Optimization modeling, mathematical programming, computational methods, stochastic programming, network flow analysis, hydrodynamic simulation integration, analytical writing
Preferred skills
Distributionally robust optimization, network resilience, flood risk applications, Gurobi/CPLEX, object-oriented programming
Technologies
Gurobi, CPLEX, hydrodynamic simulation tools
Responsibilities
Conduct doctoral research leading to journal articles and dissertation, develop optimization models and algorithms, present work at scientific conferences, contribute to departmental teaching activities, translate research results into practical disaster preparedness recommendations
Seniority
PhD Candidate (Researcher)
