Location: Lemont, IL
Cap-Exempt H-1B Position — No lottery required
The Nuclear Technologies and National Security Directorate (NTNS) is seeking a dynamic and passionate Postdoctoral Appointee with strong background in statistics or machine learning to lead an innovative project aimed at enhancing global and domestic supply chain resilience through the development of advanced supply chain analytical tools. The role will require ability to understand and integrate diverse data sets, including trade, political, economic, and social metrics to identify global risks that impact sourcing strategies essential for achieving economic and climate objectives. Key Responsibilities: - Spearhead the research and development of predictive models and strategic tools designed to support decision making in strengthening both domestic and international supply chains, particularly focusing on energy technologies. - Collaborate on the creation of a comprehensive supply chain database specifically for targeted energy technologies. - Apply advanced analytics to assess and classify domestic and global sourcing strategies, taking into consideration of various risks and uncertainties. - Partner with an interdisciplinary team to support creation of supply chain databases and develop user-friendly software interfaces that enhance data accessibility of data and insight for diverse stakeholders. - Facilitate ongoing communications and foster relationships with a broad array of stakeholders, including community groups, governmental bodies, and private sector entities. - Conduct rigorous analysis and develop models for improving the domestic and global resilience of supply chains for energy technologies - Support stakeholder engagement and community building activities such as townhalls, info sessions and workshops - Communicate research outcomes through scientific and technical reports, peer-reviewed publications, conference papers and presentations. What We Offer: - An opportunity to lead groundbreaking research that makes a tangible impact on global and domest