Zhengtao Gan

No summary provided for this position.

Arizona State University is advertising a Postdoc / PhD position in Digital Twins for Metal Additive Manufacturing with PI Zhengtao Gan (Assistant Professor, Arizona State University). The project focuses on developing a multiphysics-resolved digital twin for metal AM, combining AI-accelerated physics-based models , real-time sensor data , defect detection , prediction , and closed-loop process control within an agentic AI framework. The work is part of the NSF Center for Digital Twins in Manufacturing , a collaboration involving the University of Michigan and Arizona State University . The post mentions a clear commercialization pathway and engagement with industry advisory board members including the US Army , Honeywell , Applied Dynamics International (ADI) , Intel , and others. Research areas / keywords: digital twins, metal additive manufacturing, computational mechanics, machine learning, physics-based modeling, sensor fusion, defect prediction, process control, and manufacturing AI. Eligibility highlights: strong background and publication record in one or more of computational mechanics, machine learning, or additive manufacturing; enthusiasm for high-impact research with industrial adoption and commercial application potential. The postdoc is preferred, but an exceptional PhD student may also be considered. Funding: the position is funded through the NSF Center for Digital Twins in Manufacturing. The post describes it as a two-year project with potential for extension, but does not provide stipend, tuition, or salary details. Application: send materials to [email protected] including CV, research statement, and two recommendation letters or referee contact information. No formal deadline is stated; the post says the position starts Summer/Fall 2026 .