Postdoctoral Appointee - Supply Chain Risk Analyst

Overview The Nuclear Technologies and National Security Directorate (NTNS) is seeking a dynamic and passionate Postdoctoral Appointee with a 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. 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 various risks and uncertainties. Partner with an interdisciplinary team to support the 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 domestic supply chains. A supportive, collegial environment that encourages innovation and fosters professional growth. Active participation in a dynamic network of scholars and industry experts committed to addressing critical global challenges through collaboration and innovation. Position Requirements Ph.D. in Statistics, Machine Learning, Computer Science, Logistics/Supply Chain, or a related field. Zero to five years of employment experience. Demonstrated experience in leading research initiatives with a strong track record of publishing in peer‑reviewed journals. Excellent communication skills, capable of crafting and presenting complex information effectively to a variety of audiences. Ability to work collaboratively in a multidisciplinary team setting. Commitment to Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Desired Knowledge, Skills, and Experience Proven capability in convergent thinking and systems analysis, drawing on diverse academic backgrounds such as engineering, computer science, statistics, and economics. Familiarity with energy technologies and associated supply‑chain risk and challenges. Familiarity with the application of statistics and machine learning techniques in analyzing supply‑chain risk. Ability to develop and synthesize visualizations to effectively communicate analysis results. Strong programming skills in statistical languages such as R or Python. Job Family and Compensation Job Family: Postdoctoral. Worker Type: Long‑Term (Fixed Term). Time Type: Full Time. Expected hiring range: $72,879.00–$121,465.00 (general guideline only). The pay offered will be determined based on factors such as scope and responsibilities of the position, qualifications of the candidate, business considerations, internal equity, and external market pay for comparable jobs. Benefits Comprehensive benefits are part of the total rewards package. Details about benefits are available on Argonne’s benefits page. Equal Employment Opportunity Statement As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. #J-18808-Ljbffr Argonne National Laboratory