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Internship Agent Based Modeling Jobs in Texas (NOW HIRING)

... and Agent based modeling using tools such as Anylogic * MS or BS in Computer Science,Math, Physics, Information Science, Engineering or other related field Skills * Experience in digital twin ...

... and Agent based modeling using tools such as AnyLogic * MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related field Skill * Experience in digital twin ...

Senior Staff Agentic AI Engineer

Frisco, TX · On-site +1

$99K - $134K/yr

Agent Based Modeling * Amazon Web Services (AWS) * Datadog * OpenAI * Grafana * Graph Databases * Large Language Models (LLMs) * PostgreSQL * Prometheus (Software) * New Relic * Redis * Telemetry ...

Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency. NLP & Agent-Based AI Applications * Build LLM-powered solutions using prompt ...

... based solutions that drive real-world results. The Work You'll Lead * Architecting Workflows ... Agent Logic: A strong grasp of Large Language Models (LLMs) and emerging agentic design patterns.

... based solutions that drive real-world results. The Work You'll Lead * Architecting Workflows ... Agent Logic: A strong grasp of Large Language Models (LLMs) and emerging agentic design patterns.

Experience incorporating AI, automation, or agent-based workflows into analytics or operations * Experience with product or pod-based delivery models, including working with globally distributed and ...

You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a ... Establish and model engineering best practices for reliability, interpretability, safety ...

Agent-based architectures / "Agentic AI" * Experience building internal platforms or developer frameworks * Exposure to model management and automation pipelines * Familiarity with memory integration ...

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Internship Agent Based Modeling information

What is the difference between Internship Agent Based Modeling vs Internship Data Analyst?

AspectInternship Agent Based ModelingInternship Data Analyst
Required CredentialsRelevant coursework in modeling, programming, or simulation; sometimes a background in computer science or mathematicsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, simulation environments, or industry settings focusing on modeling complex systemsBusiness, finance, healthcare, or tech companies analyzing data sets
Employer & Industry UsageUsed in research, government agencies, and industries requiring simulation of agent behaviorsCommon across various industries for decision-making and reporting

Internship Agent Based Modeling focuses on developing and analyzing simulation models of agents within complex systems, often requiring programming skills. In contrast, Internship Data Analysts primarily interpret and visualize data to support business decisions. Both roles involve data handling but differ in methods and application areas.

What is an Internship in Agent Based Modeling?

An Internship in Agent Based Modeling is a temporary position, typically for students or recent graduates, where you learn and assist in developing computational models that simulate the actions and interactions of autonomous agents. The role involves using programming and mathematical techniques to study complex systems in fields like economics, biology, or social sciences. Interns often work with simulation tools, analyze data, and contribute to research projects under the supervision of experienced modelers. This internship helps you gain practical experience in computational modeling and can enhance your understanding of how agent-based simulations are used to solve real-world problems.

What are the key skills and qualifications needed to thrive as an Internship Agent Based Modeling, and why are they important?

To thrive as an Internship Agent Based Modeling, you need a solid background in mathematics, computer science, or a related field, along with experience in modeling and simulation techniques. Familiarity with programming languages such as Python or Java, and tools like NetLogo, AnyLogic, or Repast, is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are standout soft skills. These skills and qualities are crucial for developing accurate models, interpreting simulation results, and collaborating effectively within research or development teams.

What are the typical projects an intern in Agent-Based Modeling might work on, and how do they contribute to the team's goals?

As an intern in Agent-Based Modeling, you can expect to work on projects involving the simulation of complex systems, such as social networks, economic markets, or biological processes. Your tasks may include developing and testing models, analyzing simulation results, and assisting with data collection or visualization. These projects are integral to the team's research or product development goals, as your models help generate insights, validate hypotheses, and inform decision-making. Collaboration with data scientists, researchers, and software engineers is common, providing valuable exposure to interdisciplinary teamwork and real-world problem-solving.
What are the most commonly searched types of Agent Based Modeling jobs in Texas? The most popular types of Agent Based Modeling jobs in Texas are:
What cities in Texas are hiring for Internship Agent Based Modeling jobs? Cities in Texas with the most Internship Agent Based Modeling job openings:
Infographic showing various Internship Agent Based Modeling job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Postdoctoral Researcher - Simulation & Digital Twin Modeling

Postdoctoral Researcher - Simulation & Digital Twin Modeling

ExxonMobil

Spring, TX • On-site, Remote

$103K/yr

Full-time

Medical, Life

Posted 3 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

58th of 75 rated oil and gas companies


Job description

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 www.exxonmobilfamily.com.


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. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.


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