Lei Pan

Lei Pan

Contact

  • Associate Professor, Chemical Engineering
  • PhD, Mining Engineering, Virginia Polytechnic Institute and State University
  • MS, Mining Engineering, Virginia Polytechnic Institute and State University
  • BS, Mineral Processing Engineering, Central South University, China

Biography

Lei Pan joined the Department of Chemical Engineering at Michigan Technological University as Assistant Professor in Fall 2016 after having served as a postdoctoral researcher at Virginia Polytechnic Institute and State University.

Pan’s research focuses on surface chemistry and process modeling of particulate separation processes. The goal is to improve process efficiency, understand underlying mechanisms, and reduce the environmental impacts of mineral processing operation.

Fully-funded PhD Opportunities in Prof. Lei Pan’s Laboratory for Fall 2024

Prof. Pan in the Department of Chemical Engineering at Michigan Technological University is recruiting at least two PhD students in Fall 2024. These two positions will be fully funded through research grants/contracts for at least 3 years. The stipend for year 1 will be $24,000 (also subjected to inflation adjustment), and 100% tuition support ($27,702) will be provided to the candidate. In year 3, the stipend will raise to ~$30,000 at least.

The ideal candidates will be from engineering departments with some chemical processing, material characterization, mineral processing, and extractive metallurgy background. The team is particularly looking for candidates with a strong motivation to pursue their career in R&D or academia (professorship) in the field of chemical processing of critical minerals/materials, industrial decarbonation, and circular economy. PhD candidates are expected to submit their work to the top journals and present their work at both national and international conferences. Basic wet lab experience and good knowledge in general chemistry are the perquisite for the candidates.

 

Research Interests

  • Particulate Separation
  • Surface Chemistry
  • Process Modelling