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Argonne National Laboratory
Just Landed
Posted Yesterday
Predoctoral Appointee in Techno-Economic Analysis, Python Modeling, and Energy Systems Argonne National Laboratory in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The expected hiring range is $58,297.00–$97,161.00. The position is full-time and long-term fixed-term, with comprehensive benefits included in the total rewards package.
Country
United States
University
Argonne National Laboratory
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About this position
Argonne National Laboratory is seeking a Predoctoral Appointee in Techno-Economic Analysis for the Techno-Economic Analysis Group within the Energy Systems and Infrastructure Analysis Division.
The appointee will contribute to the development, maintenance, and modernization of analytical tools used to evaluate the costs and performance of industrial, power, and transportation technologies and infrastructure. A central focus is the Energy Systems Techno-Economic Evaluation Model (ESTEEM), which supports analysis of the technical, economic, and environmental benefits of producing, transporting, and delivering commodities across multiple sectors.
Working with Argonne researchers and technical collaborators, the appointee will help convert existing Excel-based techno-economic models into modular Python components for a centralized modeling platform. Activities include documenting calculations, assumptions, and data dependencies; translating spreadsheet workflows into reusable code; testing Python implementations against existing models; and supporting codebase architecture, shared calculation modules, standardized inputs and outputs, configuration management, and model–database interfaces.
The role also involves maintaining technical datasets and databases through data cleaning, validation, integration, version tracking, and documentation. Additional contributions may include automated testing, quality-control checks, troubleshooting model and data issues, updating parameters and datasets, and preparing technical documentation, user guidance, presentations, and progress summaries.
This is a collaborative, multidisciplinary research environment where the appointee will help translate analytical requirements into maintainable software and support consistent techno-economic calculations across an energy-systems modeling platform at Argonne’s campus in Lemont, Illinois.
Funding details
The expected hiring range is $58,297.00–$97,161.00. The position is full-time and long-term fixed-term, with comprehensive benefits included in the total rewards package.
What's required
Applicants must have a recent or soon-to-be-completed Master’s degree in engineering, computer science, data science, applied mathematics, economics, or a related field. Required qualifications include proficiency in Python, experience with Excel-based models, knowledge of software development practices, database concepts, technical dataset management, analytical and quantitative skills, the ability to translate technical requirements and spreadsheet workflows into maintainable Python implementations, strong oral and written communication, time-management and organizational skills, and the ability to work independently and collaboratively in a multidisciplinary team. Applicants must model Argonne’s core values. Preferred qualifications include experience converting engineering or economic Excel models to Python, familiarity with SQL and relational databases, Git-based development, automated testing, continuous integration, techno-economic analysis concepts, and shared modeling platforms. The position requires on-site presence at the Argonne campus in Lemont, Illinois.
How to apply
Apply through the Argonne Careers application page using the direct job posting. Submit the requested application materials and complete any required employment disclosures and background-check steps.
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