Mississippi State University is offering fully funded Ph.D. positions in the Department of Industrial and Systems Engineering, supervised by Assistant Professor Xinchao Liu. The research areas include AI/ML-enhanced scientific and engineering modeling, digital twins, uncertainty quantification, optimal experimental design, and human-machine teaming in nondestructive testing. Students with backgrounds in industrial engineering, mechanical or aerospace engineering, statistics, applied mathematics, data science, computer science, or related fields are encouraged to apply. The positions are open for Fall 2026 or Spring 2027 entry. The academic environment at MSU is described as supportive, fostering both teaching and independent research. Funding is fully provided, though specific stipend and tuition details are not listed. Interested applicants should email their CV and transcripts to [email protected] with the subject line 'Prospective Ph.D. student: {Your Name}'. For more information, students can refer to the supervisor's LinkedIn profile. This opportunity is ideal for students interested in advanced topics such as artificial intelligence, machine learning, digital twins, uncertainty quantification, and human-machine collaboration within the context of industrial and systems engineering.