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Postdoctoral Appointee - Supply Chain Risk Analyst
Develop predictive models to enhance resilience in energy technology supply chains.
Lemont, Illinois, United States
Entry Level
1 month ago
Argonne National Laboratory
Argonne is home to groundbreaking discoveries and transformative technologies across many science domains.
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✨ About The Role
- The Postdoctoral Appointee will lead a project focused on enhancing supply chain resilience through advanced analytical tools.
- Responsibilities include developing predictive models and strategic tools to support decision-making in supply chains, particularly for energy technologies.
- The role involves collaborating on the creation of a comprehensive supply chain database for targeted energy technologies.
- The candidate will apply advanced analytics to assess and classify sourcing strategies while considering various risks and uncertainties.
- Ongoing communication and relationship-building with stakeholders, including community groups and governmental bodies, will be a key part of the job.
âš¡ Requirements
- The ideal candidate will have a Ph.D. in Statistics, Machine Learning, Computer Science, Logistics/Supply Chain, or a related field.
- A strong background in statistics or machine learning is essential for success in this role.
- The candidate should have demonstrated experience in leading research initiatives and a track record of publishing in peer-reviewed journals.
- Excellent communication skills are necessary to effectively present complex information to diverse audiences.
- The ability to work collaboratively in a multidisciplinary team setting is crucial for this position.
About Argonne National Laboratory
Argonne is home to groundbreaking discoveries and transformative technologies across many science domains.