Assistant Professor
Department of Industrial & Systems Engineering at the University of Florida
E-mail: mkim@ise.ufl.edu
Office: Weil Hall 372
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Ph.D., Industrial and Systems Engineering, University of Wisconsin–Madison, 2022
M.S., Statistics, University of Wisconsin–Madison, 2021
B.S., Industrial and Management Engineering, Pohang University of Science & Technology (POSTECH), South Korea, 2017
Research areas:
- Statistical modeling and predictive analysis (digital twins) of industrial and engineering systems
- Degradation modeling, diagnosis, and prognosis
- Deep learning for generative design in advanced manufacturing
- Engineering-informed machine learning
Teaching expertise: Statistics, data analytics, and production and manufacturing.
Minhee Kim is an assistant professor in the Department of Industrial and Systems Engineering at the University of Florida. Her research interests lie in developing engineering-informed data analytics methodologies for monitoring, modeling, prediction, and decision-making for engineering or industrial systems. Her research is highly interdisciplinary and has been applied to a wide variety of real-world engineering problems, including degradation of manufacturing systems, operation of nuclear power plants, swelling of nuclear materials, and dynamics of atomistic systems.
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
- Generative design in advanced manufacturing
- Process modeling, monitoring, prognostics, and decision making
- Engineering-informed machine learning
We will focus on establishing novel data-driven methodologies for modeling, prediction, and decision-making of complex systems in various applications including manufacturing and energy systems.
The positions are fully funded and begin in the Spring 2026.
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 (Python, R, 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.