美国亚利桑那州立大学大数据智能制造专业招全奖博士生

Ph.D. Student Recruitment
My name is Shenghan Guo, an Assistant Professor in The School of Manufacturing Systems
and Networks at Arizona State University. I am looking for two motivated students to join my lab
in the upcoming Spring 2022 or Fall 2022 to pursue a Ph.D. in Systems Engineering.
The dissertation research will focus on developing data-driven solutions for smart
manufacturing. 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 (e.g., laser-based additive manufacturing).
You are welcome to apply if you are passionate about data and machine learning and interested in
developing solutions to real-world decision-making challenges! Qualified candidates will be
financially supported.

Qualification:
1. Meet the admission requirement for the Ph.D. Program:
https://poly.engineering.asu.edu ... ystems-engineering/
2. Solid academic background in statistics, data analysis, 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: statistics, applied mathematics, financial mathematics, industrial
engineering, computer science, mechanical engineering, electronic engineering, civil
engineering. 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

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