Nade Liang
8 months ago
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PhD Position in Human Factors, Operations Research, and Data Analytics – Texas Tech University Texas Tech University in United States
Degree Level
PhD
Field of study
Mathematics
Funding
Available
Deadline
Expired
Country
United States
University
Texas Tech University
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About this position
A fully funded Ph.D. position is available in the Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University, co-advised by Dr. Nade Liang and Dr. Ningji Wei. The research focuses on the intersection of human factors, operations research, and data analytics, with applications to adaptive and persuasive technologies in complex, multi-agent systems. Students will work on advanced data analytics using high-volume datasets, robust decision models for stochastic environments, and human-in-the-loop experiments. The research group is particularly interested in human-automation interaction, perception and decision-making modeling, optimization under uncertainty, and network optimization.
Applicants should have a strong background in Operations Research, Mathematics, Industrial Engineering, or a related field. Experience with programming languages, optimization solvers, and handling large datasets is essential. Effective communication skills in English are required. Preferred qualifications include research or job experience in control theory, aerospace or mechanical engineering, peer-reviewed publications, experience with time-series modeling, anomaly detection, prognostics, and human-in-the-loop systems. Prior research experience in human-subject experiments is also valued.
The position is expected to start in Fall 2026. Interested candidates should email Dr. Liang and Dr. Wei with the required documents, including a CV, transcripts, statement of purpose, and samples of recent publications if available. The review of applications will begin on March 31, 2026. For more information, refer to the attached flyer or contact the supervisors directly.
Funding details
Available
What's required
Applicants must have a degree in Operations Research, Mathematics, Industrial Engineering, or a related field. They should be comfortable working with high-volume data, familiar with programming languages and/or optimization solvers, and possess effective verbal and written communication skills in English. Preferred qualifications include research or job experience in control theory, aerospace and/or mechanical engineering, publications in peer-reviewed journals or conference proceedings, experience with large-scale datasets, time-series modeling, anomaly detection or prognostics, interest or experience in human-in-the-loop systems, decision support, prototype interfaces, and prior research experience in human-subject experiments.
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Professors
Assistant Professor
United States
Research Interests
Human-robot Interaction
Artificial Intelligence
Situational Awareness
Autonomous Vehicle
Vehicular Technology
Assistant Professor
United States
Research Interests
Microeconomics
Transportation Engineering
Mathematical Programming
Routing Algorithms
Optimization Algorithm
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.