A Smart Manufacturing and Data Analytics Group (https://sites.google.com/site/smandda/ or https://scholar.google.com/citations?user=OJtZt_YAAAAJ&hl=en Tennessee Tech. Univ. is hiring graduate students and post-doc for this Spring 2022 semester. Potential applicants (e.g., Fall 2022 or after) can contact Dr. Duckbong Kim (email@example.com) to discuss their interests and possibilities. Tuition, stipend ($1600/month for PhD student and $1600-2400/month for visiting scholar/post-doc) and travel for conferences will be financially supported.
Our research group focuses on smart manufacturing and data analytics, such as industrial automation and robotics, additive manufacturing (AM), materials characterization, compuational modeling, machine learning, and decision support. Our current primary research is in AM technologies, specifically the wire + arc additive manufacturing (WAAM). Despite significant progress in the AM field, a number of technical challenges remain, such as lack of standards/guidelines; modeling and simulation tools; AM design tools; data information management; limited number of available materials; and build capacity, processing time, certification, and qualification. Among those challenges, we are currently focusing on four main specific topics: 1) Development of WAAM System and Process, 2) Multi-scale Materials Chracterization, 3) Machine Learning and Computational Modeling, and 4) Machine Vision-based Digital Inspection Methodology. For detail information, please visit the web-site of Smart Manufacturing and Data Analytics Group.
Required background & knowledge: mechatronics, additive manufacturing, materials characterization, industrial automation and robotics, machine vision, numerical modeling, welding, machining, PLC, and programming (e.g., C++ and Python). Applicants should hold a baccalaureate or a master degree in a field of mechanical engineering, materials science, electrical engineering, computer science, industrial engineering or related-areas. Applicants should have earned a minimum of
- GPA: 3.0 on a 4.0 GPA scale (3.4 or the above preferred).
- GRE: Quantitative greater than 50%; Verbal greater than 33%; Writing greater than 33%
- TOEFL: 213 computer-based or 79 internet-based or can be replaced with TOEIC score.
If you are interested in this study opportunity, please send your C.V. to Dr. Duckbong Kim (firstname.lastname@example.org). We are looking forward to seeing highly motivated applicants for graduate study.