Postdoctoral Appointee - Electro-catalysis for CO2 conversion
Argonne National Laboratory
Lemont, USA
Job posting number: #7243223 (Ref:418159)
Posted: May 9, 2024
Job Description
We invite interested candidates to apply for a Postdoctoral Appointee position on scale-up science for emerging technologies, with a primary focus on electrochemical technologies for upgrading CO2 to value added chemicals. This position will involve a joint appointment with the Energy Systems and Infrastructure Analysis (ESIA) Division, and the Chemical Sciences and Engineering (CSE) Division at Argonne.
In this role, the candidate will design, synthesize, and evaluate cutting-edge electrocatalysts for converting CO2 into valuable chemicals and enabling water splitting, and perform comprehensive catalyst characterization, leveraging chemical/physical synthesis techniques combined with other electrochemical methods. Collaborating with modeling and simulation teams, the candidate will contribute to catalyst/electrolyzer system design, optimization, integrated process modeling, techno-economic analysis, and environmental impact assessments. Additionally, the candidate will prepare reports, presentations, and manuscripts to communicate project progress and outcomes effectively.
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.
Position Requirements
PhD in chemical engineering, chemistry, material science or related physical sciences field.
Knowledge and experimental expertise in synthesis and characterization of electrocatalysts for the CO2 reduction reaction and oxygen evolution reactions.
Knowledge of and experimental expertise in evaluating electrocatalysts using RDE, RRDE, H-cell methods, as well as testing in a full electrolyzer.
Knowledge of and experimental expertise in catalyst-material characterization techniques.
Familiarity with mathematical and computational modeling, and competence in a scientific programming language (e.g. python).
Skilled written and oral communication skills with internal team and external sponsors.
Commitment to Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred Qualifications:
Knowledge of synthesis and preparation of structured porous materials such as metal-organic framework and/or porous organic polymers.
Experience with process modeling and scientific computation.
Experience writing or contributing to research proposals.
Ability to develop and synthesize visualizations to effectively communicate research results.
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeAs 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.
