Texas Tech University’s Department of Industrial, Manufacturing, and Systems Engineering (IMSE) is inviting applications for a PhD position co-advised by Dr. Man Yiu (Tim) Tsang and Dr. Hamidreza Validi. The research focus is at the intersection of operations research, optimization, machine learning, and probabilistic modeling, with applications to large-scale, real-time systems. The successful candidate will engage in advanced data analytics on high-volume datasets, develop robust decision models for stochastic environments, and rigorously evaluate the performance and risk profiles of complex systems.

Applicants should have a degree in Operations Research, Mathematics, Statistics, Industrial Engineering, or a related field. Essential skills include strong critical thinking, analytical abilities, comfort with high-volume data, and familiarity with programming languages or optimization solvers. Effective communication skills in English are required. Preferred qualifications include experience in mathematical programming, stochastic optimization, probability theory, statistical inference, machine learning, and relevant project or publication experience.

The position is expected to start in Fall 2026. Interested candidates should email Dr. Tsang ([email protected]) and Dr. Validi ([email protected]) with the subject '[Fall 26 DSC Ph.D. Application] Your Name' and include a CV, transcripts, a statement of purpose, and any relevant publications or manuscripts. Review of applications will begin on March 27, 2026, and continue until the position is filled. Shortlisted candidates will be contacted for interviews.

This opportunity is ideal for students interested in operations research, optimization, machine learning, and data-driven decision-making in large-scale, real-time systems. The IMSE department at Texas Tech University offers a collaborative research environment with strong academic mentorship.