One Funded Ph.D. Student Position at Texas Tech University, Lubbock, Texas, USA
The Department of Industrial, Manufacturing, & Systems Engineering (IMSE) at Texas Tech University (TTU) is looking for one highly motivated student to pursue a PhD degree in Industrial Engineering. This position is co-advised by Dr. Nade Liang and Dr. Ningji Wei. The student will engage in projects at the intersection of human factors, operations research, and data analytics, with applications to adaptive and persuasive technologies in complex, multi-agent systems. Key responsibilities include performing advanced data analytics on high-volume datasets, formulating robust decision models for stochastic environments, designing and conducting human-in-the-loop experiments. The position is fully funded covering tuition and a competitive monthly stipend.
The following academic training, experience, skills, and qualifications are required:
• A degree in Operations Research, Mathematics, Industrial Engineering or a related field
• Comfortable in working with high-volume data
• Familiarity with programming languages and/or optimization solvers
• Effective verbal and written communication skills in English
The following experience and skills are preferred:
• Research or job experience in control theory, aerospace and/or mechanical engineering
• Publications in peer-reviewed journals or conference proceedings
• Demonstrated experience with large-scale datasets, time-series modeling, anomaly detection or prognostics
• Interest or experience in human-in-the-loop systems, decision support, and prototype interfaces
• Prior research experience in human-subject experiments
This position is expected to start in Fall 2026. Please email Dr. Liang (nade.liang@ttu.edu) and Dr. Wei (ningji.wei@ttu.edu) using the subject "[Fall 26 DSC Ph.D. Application] Your Name" with the following:
- (1) Curriculum Vita;
- (2) Transcript(s);
- (3) A statement of purpose highlighting the applicant's research interest, prior experience related to the position, why the applicant wishes to pursue a Ph.D., and what a Ph.D. means to the applicant. Additional information that may help evaluate the applicant's fit to the research group is welcome.
- (4) Samples of recent publications and manuscripts (if available).
Review of applications will begin on March 31, 2026. Applications will continue to be accepted and reviewed until the position is filled. Shortlisted candidates will be contacted for an interview.
Additional information available in the attached flyer.
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Nade Liang, Ph.D.
Assistant Professor
School of Industrial, Manufacturing & Systems Engineering
Texas Tech University
nade.liang@ttu.edu------------------------------