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.

Texas Tech University's Department of Industrial, Manufacturing, and Systems Engineering is recruiting a fully funded PhD student for Fall 2026 under the supervision of Dr. Man Yiu (Tim) Tsang, Assistant Professor. The research focuses on data-driven stochastic optimization, distributionally robust optimization, and decomposition algorithms, with applications in finance, healthcare, and transportation. The position offers full funding, including tuition and stipend, and is ideal for candidates with strong quantitative backgrounds in industrial engineering, mathematics, statistics, or related fields. Applicants should demonstrate proficiency in optimization and analytical methods, and international students may need to provide English language test scores. The application review begins December 15, 2025, and continues on a rolling basis until the position is filled. Interested candidates should email Dr. Tsang with their CV and relevant materials, using the specified subject line. For more details, visit Dr. Tsang's academic page.

Texas Tech University’s Department of Industrial, Manufacturing, and Systems Engineering is recruiting a fully funded PhD student for Fall 2026 under the supervision of Dr. Man Yiu (Tim) Tsang, Assistant Professor. The research focuses on data-driven stochastic optimization, distributionally robust optimization, and decomposition algorithms, with practical applications in finance, healthcare, and transportation. The position offers full funding, including tuition and stipend, for the duration of the PhD. Applicants should have a strong background in industrial engineering, operations research, mathematics, or statistics, and possess analytical and programming skills. International applicants must meet English language requirements. Application review begins December 15, 2025, and continues until the position is filled. To apply, email Dr. Tsang with your CV and relevant documents, using the specified subject line. For more details, visit the provided academic page. This opportunity is ideal for candidates interested in advanced optimization techniques and their real-world applications in diverse sectors.

Texas Tech University's Department of Industrial, Manufacturing, and Systems Engineering is offering a fully funded PhD position starting Fall 2026 under the supervision of Dr. Man Yiu (Tim) Tsang, Assistant Professor. The research focuses on data-driven stochastic optimization, distributionally robust optimization, and decomposition algorithms, with applications in finance, healthcare, and transportation. The successful candidate will join a dynamic research group working on cutting-edge optimization methodologies and their real-world applications. Applicants should have a strong background in industrial engineering, mathematics, statistics, or related fields, and possess strong analytical and quantitative skills. Experience in optimization, algorithms, or data-driven research is preferred. The position is fully funded, including tuition and a stipend, for the duration of the PhD program. Application review begins December 15, 2025, and continues on a rolling basis until the position is filled. Interested candidates should email Dr. Tsang with their CV and relevant documents, using the subject line 'Fall 2026 Ph.D. Application'. For more details, visit Dr. Tsang's academic page.

Texas Tech University’s Department of Industrial, Manufacturing, and Systems Engineering (IMSE) is inviting applications for a PhD opening 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. Key responsibilities include advanced data analytics on high-volume datasets, formulating robust decision models for stochastic environments, and evaluating the performance and risk profiles of complex systems. Applicants should have a degree in Operations Research, Mathematics, Statistics, Industrial Engineering, or a related field. Required skills include strong analytical and critical thinking, experience with high-volume data, programming and/or optimization solvers, and effective communication in English. Preferred qualifications include training in mathematical programming, stochastic optimization, probability theory, statistical inference, and/or machine learning, as well as project experience in optimization under uncertainty, machine learning, and data analysis. Publications in peer-reviewed journals or conference proceedings are also valued. The position is expected to start in Fall 2026. To apply, candidates should email Dr. Tsang and Dr. Validi with the subject line '[Fall 26 DSC Ph.D. Application] Your Name' and include a curriculum vitae, transcripts, a statement of purpose, and samples of recent 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 an interview. This opportunity is ideal for students interested in operations research, stochastic optimization, robust optimization, machine learning, and data analytics, especially those seeking to work on real-world problems in finance, healthcare, and transportation. The IMSE department at Texas Tech University offers a collaborative research environment with access to cutting-edge resources and mentorship from leading faculty in the field.