Postdoctoral Appointee – Energy Systems Analysis
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7202241 (Ref #: 416978)
- Posting Date: Dec 18, 2023
Job Description
The Systems Assessment Center (SAC) within Argonne National Laboratory has a Postdoctoral position open for a candidate with expertise and experience in energy systems analysis, technoeconomic analysis (TEA), or environmental life cycle analysis (LCA). The candidate should possess a good understanding of various energy systems, including applications in transportation, power, industry, and building sectors. SAC is recognized globally by governments and industry with its models and analysis spanning environmental, economic, and social assessment of conventional and advanced energy technologies and systems.
The candidate will evaluate energy and emissions data associated with fuel and chemical production technologies from U.S. Energy Information Administration (EIA) database, U.S. Environmental Protection Agency database (e.g., GHGRP, NEI), field data, process simulations, industry reports, the technical literature, and from interactions with other national laboratories, academia, industry, and stakeholders. The candidate will work with researchers within the SAC to expand the GREET model with the new data to enhance and expand the model’s capability of assessing the life-cycle energy use and emissions associated with energy systems, including sustainability of various energy products, services, and chemicals.
Position Requirements
PhD degree in chemical engineering, mechanical engineering, petroleum engineering, or related fields.
Experience in modeling and analysis of energy systems with a strong background in basic engineering principles.
Experience in sustainability and economic assessment.
Knowledge in industrial processes and emerging technologies for the production of fuels, hydrogen, chemical, materials, etc.; knowledge in technologies of carbon dioxide capture, transportation and storage.
Skills in computer programming such as Python, MS Excel, Excel VBA, MATLAB, mathematical optimization tools.
Skilled oral and written communication skills at levels of the organization.
A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred Qualifications:
Skills in process engineering modeling (e.g. ASPEN PLUS), CFD (e.g. ANSYS FLUENT), Life Cycle Analysis (e.g. GREET).
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeAs an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other 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.
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Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
