Funded PhD in Rail Transportation Engineering, Digital Twin, Sensing, and Bridge Condition Assessment at Morgan State University
Yuliang Zhou at Morgan State University is recruiting funded PhD students in
Rail Transportation Engineering
through the Department of Transportation and Urban Infrastructure Studies.
The research group works on rail infrastructure with a strong focus on
digital twin
methods,
sensing
,
data-driven modeling
,
bridge condition assessment
,
computer vision
,
distributed acoustic sensing
, and
track inspection
. Related topics include infrastructure monitoring, predictive maintenance, UAS-based inspection, fiber-optic sensing, and structural assessment for railroad bridges and rail transit systems.
Applicants should have a strong background in
civil engineering
, transportation engineering, geotechnical engineering, structural engineering, or a closely related field. Preferred skills include Python or MATLAB programming, finite element modeling, computational analysis, data analysis, signal processing, machine learning, and experimental or field data analysis. The group also looks for students who can work independently, communicate clearly, and contribute to publications and conference presentations.
This is a
funded PhD
opportunity at
Morgan State University
in Baltimore, Maryland, United States. Interested students should email
[email protected]
with a brief introduction and supporting materials such as a CV and transcripts. Students may also apply directly through the university admissions page.
No deadline is specified in the post.