Chemical Process Modeler

Join to apply for the Chemical Process Modeler role at Exxon Mobil

Location:

Houston, TX

Salary: $ - $

Job

At Exxon Mobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. 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 Exxon Mobil 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
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Exxon Mobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.

By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products.

The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.

The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world’s top academic, research and corporate facilities.

• Develop and apply fit-for-purpose phenomenological models to guide screening, development and design of new process technologies across Exxon Mobil Business Divisions Upstream Company, Product Solutions Company, and Low Carbon Solutions.
• Apply aptitude for and strong background in fundamentals-based modeling, particularly in the areas of complex reaction kinetics, heat and mass transfer in unit operations design for advanced reactors or separations, and a broad interest applying these skills to process development.
• Work collaboratively within cross-discipline teams with expertise in experimentation (active materials development, lab-scale experiments, and pilot plant studies), process engineering and equipment design, utilizing models to support the design of experiments, validation, and scale-up activities.
• Develop and maintain advanced modeling capabilities for phenomenological and dynamic models application.
• Serve as a subject matter expert and technical mentor in topics related to kinetic modeling, phenomenological modeling, and reactor engineering to the research and process engineering community.

• PhD in Chemical Engineering, Mechanical Engineering, Applied Mathematics or related discipline with relevant thesis work.
• Demonstrated experience with:
• Developing and applying multi-scale models of process units (reacting and separation systems, electrochemical processes, membrane/adsorption separations, steady-state/dynamic/cyclic, etc.).
• Building, solving, and optimizing robust kinetic models incorporating fundamental process chemistry.
• Developing models from scratch using computational languages: gPROMS, MATLAB, Python.
• Strong ability and interest to work on applications driven by abstract problems and develop creative out-of-the-box solutions.
• Driven and self-motivated.
• Strong written and oral communication skills.

• Lab and/or pilot scale experimentation.
• Process scale-up experience understanding the impact of scale on unit operations, commercial-scale embodiment/design.
• Experience with process simulation platforms (APSEN, HYSYS, Pro-II), hybrid modeling (i.e.: PINNs, AI/ML), Techno-economic…