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Engineering Systems Modeling-Simulation-Analyst

Argonne National Laboratory · Lemont, IL · $116,250–$181,350 a year · Full time

Posted Sep 3, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a Python project you built that other people used. How did you make it maintainable?

What they are checking: Whether they write code that lasts and that others can work with.

Describe a time you worked with researchers to turn their analysis into a software feature.

What they are checking: Whether they can bridge research needs and software development.

What would you do

A user reports that a GREET result seems off. How do you track down whether it is a data, model or code issue?

What they are checking: Whether they debug carefully when results inform policy and industry decisions.

How do you make sure a web interface is useful for researchers and policymakers who are not programmers?

What they are checking: Whether they think about the people using the tool, not just the code behind it.

About the work

What is the GREET model used for, and what do you see as the key challenges in expanding it?

What they are checking: Whether they understand the purpose and structure of the model they would help build.

How would you design a modular architecture and APIs so new GREET modules can be added without breaking existing ones?

What they are checking: Whether they can make sound software design choices for a long-lived research model.

How could large language models help with curating and updating the GREET database?

What they are checking: Whether they can apply LLMs to data curation in practical ways while guarding against wrong data.

Walk me through how you would set up a life cycle analysis for a new energy technology or critical material.

What they are checking: Whether they understand LCA concepts like system boundaries, functional units and allocation.

How would you improve the data schema to make GREET easier to update with new data?

What they are checking: Whether they can design data structures that support long-term data curation.

How do you handle uncertainty and data gaps when reporting energy and environmental results?

What they are checking: Whether they are honest about the limits of their analysis and communicate it clearly.

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The full job description

As published by Argonne National Laboratory.

Argonne National Laboratory is seeking a research staff member in the area of model development, life cycle analysis (LCA), and technology assessment to quantify energy and environmental effects of energy systems and/or materials. This is a full-time position with the Life Cycle Analysis and Technology Assessment Department in the Energy Systems and Infrastructure Analysis Division. We are seeking applicants with a combination of engineering background and extensive knowledge and experience of Python programming language and large language models (LLMs) to expand and enhance the Argonne GREET LCA model, including building application programming interfaces (APIs), integrations using modular architecture, and interactions with user interfaces (UI). The Researcher will work on research areas including energy systems, technologies, and critical materials, besides programming development of the GREET model. The Researcher will work with members of the LCA and Technology Assessment Department to advance and expand the next generation GREET software, design modeling architecture and develop source codes for key GREET modeling functionalities, improve and expand the current data schema to advance data curation techniques for updating and expanding the extensive GREET database, and develop and deploy new web-based interfaces and modules. For specific LCA research, the Researcher will collect, synthesize, and process information; develop high-quality databases and derive data-driven results; apply LCA methodologies to address critical analytical issues; provide rigorous and objective results; publish journal articles and reports; and present results at conferences, workshops, and project meetings. The researcher will contribute to and may coordinate annual expansion and development of the GREET model with life-cycle results based on a consistent and interactive modeling framework within GREET. The Researcher will: • Work closely with the GREET life cycle analysis research team to improve the software architecture design, data schema, calculation engine, database management, and expandability for the Python-based GREET software (PyGREET); • Apply the Python programing language and LLMs to develop, train, and deploy artificial intelligence capabilities in PyGREET; • Build a rigorous and trustworthy data ingestion pipeline to collect, validate, and develop datasets for specific energy systems and/or material technology; • Conduct rigorous LCA studies in the GREET modeling platform; • Work with collaborators from other national labs and academia to evaluate complex systems and to incorporate new data in analyses; • Communicate with DOE and other sponsors to address sponsors’ LCA needs and market the Department’s analytic capabilities for new programs. The LCA and Technology Assessment Department continues a 32-year history of leadership in the field of life cycle assessment. The Researcher will join project teams including experts in a variety of topics and will regularly collaborate with experts of other Argonne groups as well as in industry and at other national laboratories. The Department develops and maintains the G reenhouse Gases, R egulated E missions, and E nergy Use in Technologies (GREET) model, which is widely used by government, industry, and academic stakeholders to provide objective and rigorous results (see https://greet.anl.gov ). The Department supports DOE and other sponsors to assess the energy and environmental impacts associated with energy systems, chemicals, products, materials, and integrated systems to help DOE and other stakeholders guide R&D efforts, identify improvement opportunities, and propose new methodologies to address emerging issues in LCA. Position Requirements • Experience in LCA, process modeling, or closely related areas; • Extensive experience in developing and deploying software using Python and LLMs; • Extensive experience in interacting with sponsors and external collaborators; • Experience in leading projects and tasks, tracking project progress, and directing junior staff; • Expertise in topics related to process modeling and energy, resource, and environmental analysis of energy systems and/or materials and product systems; • Excellent skills in written and oral communication to effectively interact with sponsors, collaborators, and internal team members; • A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. • This position requires onsite presence at Argonne National Laboratory in Lemont, Illinois. The selected candidate will be placed at the appropriate level (RD3 or RD4) depending upon depth and breadth of relevant knowledge, skills, and experience brought to the position. The requirements for the desired levels are as follows: • RD3 Level: Bachelor’s and 8+ years; Master’s and 5+ years; Doctorate and 4+ years in in environmental, chemical, mechanical engineering, or related fields. • RD4 Level: Bachelor’s and 12+ years; Master's Degree and 7+ years of experience or equivalent; Doctorate and 6+ years in in environmental, chemical, mechanical engineering, or related fields. The selected individual will be placed in the appropriate job profile “Mechanical / Civil Engineering”, “Environmental Science" or Engineering Systems Modeling Simulation based on the background and qualifications brought to the position. Preferred qualifications include: • Experience with a range of programming languages and associated libraries, including general-purpose programming (C#, Python, and Java), version control and automation tools (e.g., Git) and large language models (LLMs). • Demonstrated experience in data-driven LCA modeling and analysis; • Desire and passion to work as part of a team in a highly collaborative environment; • Familiarity with public data sources relevant for environmental analysis; • Passion for data-driven policy decisions for societal benefits; • Well-developed problem-solving, systems thinking, quantitative, and critical thinking skills; intellectual curiosity. Able to propose and formulate solutions to complex problems; • Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience. Interested candidates should provide a curriculum vitae, sample software and/or web applications, and names and contact information for three professional references to the application management system. Job Family Research Development (RD) Job Profile Mechanical/Civil Engineering 3 Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $116,250.00 - $181,350.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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