Minhee Kim
I am an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Florida.
My research interests are in the areas of quality engineering, machine learning, and statistics. I am especially interested in
Decision-oriented data analytics
Degradation modeling, diagnosis, and prognosis
Statistical modeling and predictive analysis of industrial and engineering systems
Engineering-informed machine learning
[Google Scholar] [DISIDE Lab] [CV] (last updated: Dec, 2023)
Education
Ph.D., Industrial and Systems Engineering (2022)
University of Wisconsin–Madison
M.S., Statistics (2021)
University of Wisconsin–Madison
B.S., Industrial and Management Engineering (2017)
Pohang Univ. of Sci. and Tech. (POSTECH), South Korea
Openings
We are looking for highly self-motivated Ph.D. students with interests in one or more of the following fields to join our research group:
Statistical modeling and predictive analysis of industrial and engineering systems
Advanced manufacturing and reliability analysis
Process modeling, monitoring, prognostics, and decision making
Engineering-informed machine learning
We will focus on establishing novel data-driven methodologies for modeling, prediction, and control of complex systems in various applications including manufacturing and energy systems.
The positions are fully funded and begin in Spring 2025 / Fall 2025.
Ideal candidates should meet the following qualifications:
B.S. or M.S. in Industrial Engineering, Statistics, Computer Science/Engineering, Mechanical Engineering, Operation Research, Mathematics, or related fields.
Strong programming skills in at least one programming language (R, Python, or Matlab is preferred)
The positions will remain open until filled by qualified candidates. Candidates from all backgrounds, especially those historically underrepresented in STEM fields, are strongly encouraged to apply. If you are interested, please email your CV, (unofficial) transcripts, and research interests to mkim3@ufl.edu.