Argonne National Laboratory Postdoctoral Appointee: Industrial Decarbonization – Systems Analysis in Lemont, Illinois
Postdoctoral Appointee: Industrial Decarbonization – Systems Analysis
Requisition Number: 410196 Location: Lemont, IL
Functional Area: Research and Development Division: ES-Energy Systems
Employment Category: Temporary 6 Months or Greater Education Required: Doctorate Degree
Level (Grade): 700 Shift: 8:30 - 5:00 Share: Facebook LinkedIn Twitter
The candidate would conduct interdisciplinary research on manufacturing sector energy use modeling, optimization, and analysis, encompassing both supply-side and demand-side technology transformations needed for industrial decarbonization and sustainable manufacturing. The candidate would be expected to conduct high-impact research in two primary areas.
Research area 1: The candidate would be responsible for the development of a new open-source energy systems optimization modeling tool or adapting an existing modeling tool with the goal of evaluating decarbonization pathways for industrial sectors including cement, iron & steel, chemicals, petroleum, and pulp & paper manufacturing. The emphasis will be on providing appropriate high-level abstractions of both incumbent manufacturing technologies and processes currently in use, as well as prospective energy efficiency measures, process electrification technologies, low-carbon fuels, feedstocks, and energy sources, and CO2 capture and utilization technologies that could help achieve 2030 and 2050 industrial decarbonization targets. The research would build upon existing manufacturing energy use datasets and tools used by the U.S. Department of Energy (DOE). This is a multi-year project that would involve significant collaboration with researchers from other DOE Nationals Laboratories and the DOE Advanced Manufacturing Office.
Research area 2: The candidate would conduct research in logistics optimization with immediate applications in (1) electric vehicle battery recycling networks and (2) transportation and storage of CO2 captured from stationary sources (industry and power generation) for utilization and storage.
The candidate is expected to have a strong background in optimization and operations research, with a demonstrable experience in systems-level thinking that draws from several disciplines including engineering, economics, and environmental science. The candidate is expected to communicate the outcomes of their research and analysis extensively through peer-reviewed publications, internal and public reports, and presentations at scientific conferences.
Safety, Security, and Environmental Protection: All activities, as they apply to work performed by self or by personnel under supervision, will be executed in compliance with ES&H and security responsibilities established by Argonne National Laboratory's ES&H policies, Safeguards and Security policies, work rules, and safe practices.
- Ph.D. in mechanical or industrial engineering, operations research or related fields. Research experience working on problems in the context of resilience and/or environmental sustainability of engineering technology systems.
- Experience developing mathematical or computational models for simulation and optimization of energy and/or manufacturing systems.
- Strong command of optimization, statistics, and general engineering fundamentals.
- Exceptional programming skills in Julia, Python, R, Java or similar languages.
- Experience in sound general scientific knowledge, particularly as it relates to the emerging interdisciplinary field of sustainability science.
- Excellent oral and written communication skills at all levels of the organization.
- Knowledge of life cycle analysis and techno-economic analysis, particularly in the context of energy and industrial technologies.
- Experience working in multidisciplinary research environments.
- Experience writing successful grant proposals.
- Ability to think strategically, use independent judgment, and exercise thought leadership.
- Knowledge of conventional and next-generation energy and manufacturing technologies, and their environmental impacts including energy use, water use, and emissions.
- Experience developing tools and data sets for public use.
- Ability to synthesize effective data visualizations to communicate results from complex data analyses.
- Ability to develop evidence-based policy insights in science and technology.
- A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
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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