Zhengtao Gan
6 months ago
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Postdoc or PhD Position in Digital Twins for Metal Additive Manufacturing Arizona State University in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The position is funded through the NSF Center for Digital Twins in Manufacturing between the University of Michigan and Arizona State University. It is described as a two-year project with potential for extension. No stipend or tuition details are provided.
Deadline
Expired
Country
United States
University
Arizona State University
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Keywords
About 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.
Funding details
The position is funded through the NSF Center for Digital Twins in Manufacturing between the University of Michigan and Arizona State University. It is described as a two-year project with potential for extension. No stipend or tuition details are provided.
What's required
Applicants should have a strong background and publication record in one or more of computational mechanics, machine learning, or additive manufacturing. The postdoc is preferred, but an exceptional PhD student may also be considered. Candidates should be enthusiastic about high-impact research with industrial adoption and commercial application potential.
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Professors
Assistant Professor
United States
Research Interests
Machine Learning
Computer Science
Materials Science
Phase-field Modeling
Mechanical Engineering
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