• Postdoctoral Appointee: Techno-Economic Modeling for Electrochemical Systems

    Argonne National LaboratoryLemont, IL 60439

    Job #2752119431

  • We invite interested candidates to apply for a Postdoctoral Appointee position on scale-up science for emerging technologies, with a primary focus on techno-economic, manufacturing and market-adoption analysis for electrochemical technologies such as CO2 conversion to value added chemicals. The successful candidate will join the Center for Energy, Environmental and Economic Systems Analysis (CEEESA) within the Energy Systems and Infrastructure Analysis (ESIA) Division at Argonne.

    In this role, the candidate will lead the development of public-facing software for techno-economic analysis (TEA) and scale-up of emerging electrochemical technologies, such as electrochemical energy storage and CO2 electrolyzer systems. Responsibilities include collecting, organizing, and maintaining a comprehensive technology data library, and modeling technology scale-up and adoption using supply chain and market information, along with expert knowledge and systematic statistical methods. The candidate will also lead integrated process modeling, develop models for predicting technology learning rates and commercialization timelines, and contribute to technology design and optimization. Additionally, the candidate will prepare reports, presentations, and manuscripts to effectively communicate project progress and outcomes.

    The candidate must demonstrate the ability for convergent thinking and will receive a supportive and enabling environment to develop research projects, grow research collaborations, communicate impactful research outcomes in peer-reviewed journals, and support other related projects within the team's portfolio. Experience or familiarity with life cycle analysis is a plus, but not required.

    Position Requirements

    • PhD in chemical engineering, mechanical engineering, sustainability science, or relevant physical or social sciences field.

    • Experience with scientific literature review, data collection and analytics.

    • Experience with techno-economic analysis and engineering process modeling.

    • Expertise with modern scientific programming languages like Python and Julia.

    • Ability to integrate diverse knowledge, methods, and perspectives to drive analysis and innovation.

    • Ability to lead research projects, establish collaborations, and work with multidisciplinary research teams.

    • Skilled oral and written communication skills at all levels of the organization.

    • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

    • Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive.

    Preferred Qualifications

    • Knowledge of electrochemistry, electrolyzer engineering design, manufacturing and markets.

    • Familiarity with market adoption and commercialization research.

    • Experience with software development for public use.

    • Familiarity with life cycle analysis.

    • Ability to develop and synthesize visualizations to effectively communicate research results.

    Job Family

    Postdoctoral Family

    Job Profile

    Postdoctoral Appointee

    Worker Type

    Long-Term (Fixed Term)

    Time Type

    Full 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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