Postdoctoral Researcher - Simulation & Digital Twin Modeling

ExxonMobil•Spring, TX

2d•Onsite

About The Position

ExxonMobil is seeking a Postdoctoral Researcher with expertise in advanced simulation methods to support decision-making through digital twin and market/system modeling. The role focuses on developing and applying simulation approaches—such as discrete event simulation, system dynamics, and agent-based modeling—to represent complex operational and market systems. The successful candidate will build scalable simulation frameworks that integrate with optimization and analytics workflows to enable scenario analysis, forecasting, and strategic decision support.

Requirements

Ph.D. in Industrial Engineering, Operations Research, Systems Engineering, Applied Mathematics, or related field.
Experience with at least one simulation paradigm (discrete event, agent-based, or system dynamics).
Strong programming skills (Python or similar).
Experience building simulation models for complex systems.

Nice To Haves

Experience with digital twin development or system-level modeling.
Familiarity with integrating simulation and optimization.
Experience in market modeling or energy systems.
Knowledge of uncertainty analysis or stochastic modeling.

Responsibilities

Develop simulation models using discrete event simulation, system dynamics, and/or agent-based modeling.
Build digital twins of operational or market systems to support scenario analysis and decision-making.
Integrate simulation with optimization and data-driven models.
Analyze system behavior under uncertainty and evaluate policy or operational strategies.
Develop reusable frameworks for rapid simulation deployment across applications.
Apply methods to real-world problems in energy markets, operations, and emerging low-carbon systems.