A Smart Manufacturing and Data Analytics Group (https://sites.google.com/site/smandda/ or https://scholar.google.com/citations?user=OJtZt_YAAAAJ&hl=en) at University of Georgia, Athens is hiring PhD or Direct PhD students for the Summer/Fall 2026. Potential applicants (e.g., Spring 2027) can contact Dr. Duckbong Kim (dbkim@uga.edu) to discuss their interests and possibilities. Tuition, stipend for PhD ($2,300-3,000/month) student and travel for conferences will be financially supported. Stipend/salary for post-doc ($50,000 to 60,000) and travel for conferences will be financially supported.
Our research group focuses on smart manufacturing and data analytics, such as industrial automation and robotic welding, XR:AR/VR/MR, additive manufacturing (AM), computational modeling, machine learning, physical AI, and decision support. Among these, we are currently focusing on four main specific topics: 1) XR-based Smart Manufacturing, 2) Machine Learning and Computational Modeling, 3) Collaborative Robot, 4) Machine Vision-based Digital Inspection Methodology (e.g., Cognex, PLC, and NI), and 5) Materials Characterization. For detail information, please visit the web-site of Smart Manufacturing and Data Analytics Group.
Required background & knowledge: mechatronics, industrial automation and robotics, machine vision, numerical modeling, and programming (e.g., C++, Unity, and Python). Applicants should hold a baccalaureate or a master degree in a field of mechanical engineering, electrical engineering, computer science, material science/engineering, industrial engineering or related-areas. Applicants may have earned a minimum of
- GPA: 3.0 on a 4.0 GPA scale (3.4 or the above preferred).
- TOEFL: overall score of 80 with at least 20 on speaking and writing.
For details, please see https://engineering.uga.edu/prospective-students/graduate/.
If you are interested in this study opportunity, please send your C.V. to Dr. Duckbong Kim (dbkim@uga.edu). We are looking forward to seeing highly motivated applicants for graduate study.
