Postdoctoral Appointee - Fuel/Chemical Production Technology Assessment
Job posting number: #7099247 (Ref:413252)
Posted: May 3, 2022
Application Deadline: Open Until Filled
A position is now open for a candidate with expertise and experience in process modeling (preferably using Aspen Plus), technoeconomic analysis (TEA), or environmental life cycle analysis (LCA). The candidate will possess good understanding of petroleum fuels production, hydrogen production from various technologies, carbon dioxide capture, natural gas-based fuels, or advanced fuel and chemical production technologies (such as those converting biomass to liquid fuels, waste to fuels/chemicals), properties of fuels, chemicals and other products. The candidate will possess system analysis including process modeling, technoeconomic analysis (TEA), environmental life cycle analysis (LCA) and regional analysis.
The candidate will extract 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 various transportation fuels and chemicals.
Doctor’s degree in chemical engineering, mechanical engineering, petroleum engineering, or related fields.
Experiences in Aspen Plus process modeling with strong background in chemical engineering principles.
Knowledge in industrial processes and emerging technologies for petroleum fuels production, hydrogen production, petrochemical processes, electrochemical processes, carbon dioxide capture and storage, crude recovery, natural gas recovery and processing, material recovery, some other manufacture processes.
Skills in computer programming skills in MS Excel, Excel VBA, Python, or MATLAB.
Skilled oral and written communication skills at all levels of the organization.
A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
As 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.
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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.