Postdoc Research Scholar - Digital Twins and Federated Learning for Advanced Manufacturing - #270021

The primary location of this position is on-site in Cullowhee, NC. Those serving in this position should expect periodic travel to partner manufacturing site in North Carolina. Remote work is not available.

This is a full-time, 12-month, time-limited, grant-funded appointment anticipated to begin on or about January 1, 2027 and continue through June 30, 2029. Renewal is expected to occur annually and is contingent on satisfactory performance and continued funding.

The primary purpose of this position is to conduct postdoctoral research supporting the digital twin workstream of the Personalized Federated Learning Framework for Advanced Manufacturing Environments. The position develops, calibrates, and validates digital twin simulation models for manufacturing equipment, processes, and material behavior; integrates machine learning capabilities within the digital twin and federated learning environment; and supports evaluation and deployment of the framework at industry partner sites.

The position also contributes to scholarly publications, project deliverables, student mentoring, curriculum modules, and hands-on training activities as a member of a joint Western Carolina University and North Carolina State University research team. The position reports to the project principal investigator.

Required Knowledge, Skills, and Abilities