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Man Yiu (Tim) Tsang

3 months ago

PhD Position in Data-Driven Stochastic Optimization and Robust Algorithms at Texas Tech University Texas Tech University in United States

Degree Level

PhD

Field of study

not provided

Funding

The position is fully funded, including tuition coverage and a stipend. Specific stipend amount is not mentioned. Funding is provided by the Department of Industrial, Manufacturing, and Systems Engineering at Texas Tech University.

Deadline

Expired

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Country

United States

University

Texas Tech University

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Where to contact

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About this position

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.

Funding details

The position is fully funded, including tuition coverage and a stipend. Specific stipend amount is not mentioned. Funding is provided by the Department of Industrial, Manufacturing, and Systems Engineering at Texas Tech University.

What's required

Applicants should hold a bachelor's or master's degree in industrial engineering, mathematics, statistics, operations research, or a closely related field. Strong quantitative and analytical skills are required. Experience or coursework in optimization, algorithms, or data-driven research is preferred. International applicants may need to provide proof of English proficiency (e.g., TOEFL/IELTS).

How to apply

Email Dr. Tsang at [email protected] with the subject 'Fall 2026 Ph.D. Application.' Attach your CV and relevant documents. Application review starts December 15, 2025 and continues until the position is filled. See the provided link for more information.

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