PhD Position in Human Factors, Operations Research, and Data Analytics at Texas Tech University Texas Tech University in United States

A PhD position is available in the Department of Industrial, Manufacturing, and Systems Engineering (IMSE) at Texas Tech University, USA. The position is co-advised by Dr. Nade Liang and Dr. Ningji Wei, focusing on research at the intersection of human factors, operations research, and data analytics. Projects will involve adaptive and persuasive technologies in complex, multi-agent systems, offering a multidisciplinary research environment.

Key responsibilities for the PhD student include performing advanced data analytics on high-volume datasets, formulating robust decision models for stochastic environments, and designing and conducting human-in-the-loop experiments. The research aims to advance knowledge in adaptive and persuasive technologies, with applications in industrial and systems engineering.

Applicants are expected to have a strong background in data analytics, operations research, or related fields. Application materials should include a curriculum vitae, transcripts, a statement of purpose highlighting research interests and prior experience, and samples of recent publications or manuscripts if available. Additional information that may help evaluate the applicant’s fit to the research group is welcome.

The position is expected to start in Fall 2026. Review of applications will begin on March 31, 2026, and will continue until the position is filled. Shortlisted candidates will be contacted for an interview. For more information, interested applicants can contact Dr. Nade Liang ([email protected]) and Dr. Ningji Wei ([email protected]).

Texas Tech University is a leading institution in the USA, providing a dynamic research environment in industrial engineering, systems engineering, and data analytics. This opportunity is ideal for candidates interested in human factors, operations research, and the application of data analytics to complex systems.