Ph.D. Student Recruitment (Active)
I am looking for motivated students to join my group in Spring or Fall 2026. The dissertation research will focus on developing AI solutions for human-centric smart manufacturing, e.g., high-resolution 3D printing for customized products and AI assistance for human worker training. Statistical process monitoring, data mining, and machine learning will be intensively used in dissertation research. Specific topics may cover methodology innovation for manufacturing data processing and modeling, data-driven decision-making, interpretable or physics-informed machine learning, diagnostic and prognostics for advanced manufacturing processes. You are welcome to apply if you are passionate about data and interested in solving real-world decision-making challenges! Qualified candidates will be financially supported with full research assistantship.
Qualifications:
1. Meet the admission requirement for the Ph.D. Program:
2. Solid academic background in computer science, statistics, and machine learning, e.g., undergraduate/graduate major in these areas, or have learned multiple courses related to the subjects.
3. Proficiency in coding (Python/R/MATLAB/C/C++/Java). Python is highly preferred. Linux experience is a plus.
4. Preferred major: electronic engineering, mechanical engineering, computer science, statistics, applied mathematics, financial mathematics. Both graduate and undergraduates are encouraged to apply, but having a graduate degree is a plus.
5. Self-motivation, persistence, curiosity for knowledge, and willingness to learn.
Contact: Shenghan.Guo@asu.edu
LinkedIn: (2) Shenghan Guo | LinkedIn