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. Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience.Ī successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.Īrgonne is an equal opportunity employer, and we value diversity in our workforce. Highly motivated and detail-oriented with the ability to work independently and in close collaboration with team members. Able to structure and formulate solutions to complex problems. Well-developed problem-solving, systems thinking, quantitative, and critical thinking skills intellectual curiosity.
OPENLCA PYTHON SOFTWARE
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).Įxperience with GREET or other LCA software such as openLCA, SimaPro, or GaBi. Capable of identifying key features of complex systems/processes.
Knowledge of the parameters along the supply chain of various SAF production pathways from feedstock production to fuel combustion.įamiliarity 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. Knowledge in conversion processes for SAF production. degree in mechanical engineering, chemical engineering, environmental science, or related fields. Qualified individuals should have a Ph.D. 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. 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. SAC is working closely with other national laboratory partners to evaluate emerging SAF production technologies. 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). The on-going projects at the SAC identify the opportunities of deep reductions in greenhouse gas emissions through SAFs. The SAC conducts comprehensive environmental LCA of various SAF production pathways to support the decarbonization of the U.S. This position will support analysis efforts addressing SAF. 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. 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 GREET model has more than 48,000 registered users worldwide, including academia, industry, and regulatory agencies. 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 for details). The SAC has been conducting assessments of advanced vehicle technologies and new transportation fuels over the last 25 years. 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.