The Energy Systems and Infrastructure Analysis (ESIA) Division is seeking a highly motivated postdoctoral appointee. The position will support work across multiple divisions and directorates with modeling and analysis of critical material markets and supply chains to provide strategic insights on domestic and global critical materials, supply chains, technologies, and manufacturing needed to meet U.S economic and decarbonization goals.
This role will build on existing work at Argonne and collaborate with a multi-disciplinary team and will involve the following:
Conduct research and analysis and develop models to aid decision-making around topics related to improving the domestic and global resilience of supply chains for technologies vital to clean energy and decarbonization of the U.S. economy.
Contribute to ongoing development and analysis using GCMat, an existing agent-based model of critical material supply chains.
Use advanced statistical analysis to estimate mine development costs and associated uncertainties when data availability is limited.
Conduct research and analysis to illustrate the impact of supply chain risks on near term criticality of materials, identifying key bottlenecks to the needed growth of clean energy technologies.
Support communication and engagement with stakeholders from communities, government and private institutions.
The candidate must demonstrate the ability for convergent thinking and systems analysis that draws from a variety of fields such as engineering, economics, and data science. The candidate 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
Masters in Economics / Resource or mineral economics, Data Science, Statistics, Computer Science / Software Engineering, Mechanical Engineering, Industrial Engineering, Systems Engineering, Applied Mathematics, Operations Research, Logistics/Supply Chain.
Experience with programming languages, preferably including Java and R, or similar.
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 organization.
Commitment to Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
U.S. Citizenship
To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract.
This level of knowledge is typically achieved through a formal education in one of the fields listed above at the Masters level with zero years of employment experience.
Preferred Qualifications:
Experience with modeling and analysis of material supply chains.
Job Family
Temporary FamilyJob Profile
Predoctoral 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.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
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