Postdoctoral Appointee – Life-Cycle Analysis

Argonne National Laboratory

Lemont, IL

Job posting number: #7085365

Posted: September 15, 2021

Application Deadline: Open Until Filled

Job Description

The Systems Assessment Center (SAC) of Argonne National Laboratory (ANL) is seeking a postdoctoral researcher in the area of life cycle analysis (LCA) of various sustainable aviation fuel (SAF) production pathways.

The SAC has been conducting assessments of advanced vehicle technologies and new transportation fuels over the last 25 years. It has developed the GREET® (Greenhouse gases, Regulated Emissions, and Energy use in Technologies) model for estimating energy use, emissions, and water consumption on a life-cycle basis for conventional and new vehicle/fuel systems, as well as emerging technology for energy production, energy storage, and chemical production (see https://greet.es.anl.gov for details). The GREET model has more than 48,000 registered users worldwide, including academia, industry, and regulatory agencies. The SAC has been working closely with auto and energy industries, universities, and governmental agencies to evaluate energy, environmental, and cost impacts of advanced vehicle technologies and new transportation fuels. The SAC supports DOE and other sponsors to assess the energy and environmental outcomes associated with fuels, products, and integrated systems in order to guide R&D efforts, identify improvement opportunities, and to create new approaches for LCA/sustainability analysis to address emerging issues.

This position will support analysis efforts addressing SAF. The SAC conducts comprehensive environmental LCA of various SAF production pathways to support the decarbonization of the U.S. and international aviation sector. The on-going projects at the SAC identify the opportunities of deep reductions in greenhouse gas emissions through SAFs. SAC has been engaged in the development of the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA) program of the International Civil Aviation Organization (ICAO). SAC is working closely with other national laboratory partners to evaluate emerging SAF production technologies.

The candidate is expected to work with other team members to collect and synthesize information to conduct LCA studies of newly emerging SAF production pathways in the GREET modeling platform, manipulate large datasets to provide rigorous and objective results, communicate results through well-designed presentations, publish journal articles and reports, and present results at conferences, workshops, and project meetings. 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 of SAF pathways.

Position Requirements:

Qualified individuals should have a Ph.D. degree in mechanical engineering, chemical engineering, environmental science, or related fields.

Knowledge in conversion processes for SAF production.

Knowledge of the parameters along the supply chain of various SAF production pathways from feedstock production to fuel combustion.

Familiarity with a wide range of data sources relevant for environmental and sustainability analysis, and the ability to identify topics and data sources and engage experts to conduct research. Capable of identifying key features of complex systems/processes.

Experience analyzing large data sets.

Strong computer skills relevant for data manipulation and analysis including experience with creating and using complex models in Excel or other software (e.g., Python, R, ArcGIS, Matlab).

Experience with GREET or other LCA software such as openLCA, SimaPro, or GaBi.

Well-developed problem-solving, systems thinking, quantitative, and critical thinking skills; intellectual curiosity. Able to structure and formulate solutions to complex problems.

Highly motivated and detail-oriented with the ability to work independently and in close collaboration with team members.

Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience.

A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Position Requirements

Qualified individuals should have a Ph.D. degree in mechanical engineering, chemical engineering, environmental science, or related fields.

Knowledge in conversion processes for SAF production.

Knowledge of the parameters along the supply chain of various SAF production pathways from feedstock production to fuel combustion.

Familiarity with a wide range of data sources relevant for environmental and sustainability analysis, and the ability to identify topics and data sources and engage experts to conduct research. Capable of identifying key features of complex systems/processes.

Experience analyzing large data sets.

Strong computer skills relevant for data manipulation and analysis including experience with creating and using complex models in Excel or other software (e.g., Python, R, ArcGIS, Matlab).

Experience with GREET or other LCA software such as openLCA, SimaPro, or GaBi.

Well-developed problem-solving, systems thinking, quantitative, and critical thinking skills; intellectual curiosity. Able to structure and formulate solutions to complex problems.

Highly motivated and detail-oriented with the ability to work independently and in close collaboration with team members.

Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience.

A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

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.


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