Postdoctoral Appointee - Critical Material Market Modeling
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7236070 (Ref #: 417953)
- Posting Date: Apr 11, 2024
Job Description
The Energy Systems and Infrastructure Analysis (ESIA) Division is seeking a highly motivated postdoctoral appointee. This 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.
Position Requirements
PhD 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 or equivalent.
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.
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 the organization.
Commitment to Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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.
Preferred Qualifications:
Experience with modeling and analysis of material supply chains.
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.
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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