Argonne National Laboratory is seeking a Predoctoral Appointee to support tool development and data management for the Techno-Economic Analysis Group within the Energy Systems and Infrastructure Analysis (ESIA) Division. The successful candidate 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, primarily ESTEEM.
The successful candidate will focus on supporting the development of the Energy Systems Techno-Economic Evaluation Model (ESTEEM). The candidate will expand ESTEEM to enable the study of potential technical, economic, and environmental benefits of the production, transport, and delivery of various commodities across the industrial, transportation, and power sectors.
Working with Argonne researchers and technical collaborators, the predoctoral appointee will support the conversion of existing Excel-based techno-economic models into Python modules for a centralized modeling platform. Responsibilities will include reviewing and documenting existing model calculations, assumptions, and data dependencies; translating spreadsheet calculations into modular, reusable Python code; and testing Python implementations against existing models to verify consistency and accuracy. The appointee will assist with codebase architecture and organization, including shared calculation modules, standardized model inputs and outputs, configuration management, and interfaces between models and databases.
The predoctoral appointee will also support the development and maintenance of technical datasets and databases, including data cleaning, validation, integration, version tracking, and documentation of data sources and assumptions. Additional responsibilities will include developing automated tests and quality-control checks; troubleshooting model and data issues; supporting updates to model parameters and datasets; and preparing technical documentation, user guidance, presentations, and progress summaries. The successful candidate will collaborate with researchers to translate analytical requirements into maintainable software and support the consistent implementation of techno-economic calculations across the modeling platform.
Position Requirements
Preferred qualifications:
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TemporaryJob Profile
Predoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timePlease 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.
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Argonne National Laboratory focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures and facilities.