Postdoc: Digital Twin & Simulation for Energy Systems

ExxonMobil; Spring (TX); On-site; USD 65,000 - 90,000; Full time

Job summary

ExxonMobil is seeking a Postdoctoral Researcher to advance simulation methods and digital twin capabilities for decision-making in complex energy and industrial systems. The role focuses on developing and applying discrete event, system dynamics, and agent-based modeling within scalable frameworks that couple with optimization and analytics workflows.

The successful candidate will contribute to scenario analysis, forecasting, and strategic decision support, with an emphasis on energy markets and

Qualifications

• 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.

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.

Skills

Simulation paradigms

Python programming

Complex systems modeling

Education

PhD in related field

Job description

ExxonMobil is seeking a Postdoctoral Researcher to advance simulation methods and digital twin capabilities for decision-making in complex energy and industrial systems. The role focuses on developing and applying discrete event, system dynamics, and agent-based modeling within scalable frameworks that couple with optimization and analytics workflows.

The successful candidate will contribute to scenario analysis, forecasting, and strategic decision support, with an emphasis on energy markets and