Postdoctoral Researcher - Simulation & Digital Twin Modeling

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together .

Why Join ExxonMobil?

You will contribute to the development of advanced simulation and digital twin capabilities that enable better decisions across complex energy and industrial systems.

About the Role

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.

Key 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.

Required 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.

Preferred Qualifications

• 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.

Duration

This opportunity is for a postdoctoral position expected to last one to three years, subject to annual review and renewal.

Work Location

Our post doctoral research employees are located at our main corporate office in Spring, Texas.

Your Total Rewards

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. Individual pay is determined based on various factors including degree/education, discipline, year of study, skills, abilities, qualifications, and work experience.

More information on our Company's benefits can be found at .

Please note pay rates and benefits may be changed from time to time without notice, subject to applicable law.

Relocation Options

Relocation benefits may be available to you based on ExxonMobil eligibility guidelines.

Equal Opportunity Employer

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

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