How to Apply Full Funded PhD at the University of Texas at San Antonio

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The University of Texas at San Antonio

Full funded PhD scholarship scope at the University of Texas at San Antonio. Before know about full funded PhD scope, let’s know about the University of Texas at San Antonio. There are several well-known faculty members in UTSA’s Mechanical Engineering Department, which is classified as a Tier 1 research university. It has a strong research and teaching program in systems engineering, operations research, and big data analytics. UTSA hosts several nationally recognized research institutes (e.g., Cybersecurity Manufacturing Innovation Institute) and the department has strong ties to several U.S. universities. Successful candidates will have the opportunity to work closely with DOE Laboratories such as Sandia, Oak Ridge, and Idaho National Laboratories. UTSA also has strong ties with multiple large companies and research institutes located in San Antonio, including USAA, UT Health San Antonio, and Southwest Research Institute. UTSA students have numerous job opportunities in San Antonio, the second-largest city in Texas and the seventh-largest city in the United States.

They gives scope for PhD in Industrial Engineering, PhD in Management Science, PhD in Mathematics, PhD in Electrical Engineering, PhD in Operations Research.

About Professor

There is an immediate opening for a Ph.D. student position in Dr. Tanveer Hossain Bhuiyan’s research group at The University of Texas at San Antonio (UTSA) in the discipline of Operations Research/Industrial & Systems Engineering. In addition to offering a competitive stipend, the fully funded Ph.D. position also covers tuition, fees, health insurance, and international conference travel. If visa-related delays prevent the student from starting in Spring 2025, we will also consider Summer or Fall 2025 for very strong candidates. Research projects in Dr. Bhuiyan’s group focus on developing data-driven mathematical models (incorporating machine learning algorithms) and efficient solution approaches (e.g., linearization of nonconvex models, design/develop exact, approximate, and heuristic algorithms) to solve complex decision-making problems. To identify patterns in big data, the research also focuses on developing machine learning and big data analytics methods using high-performance computing environments. In addition to sustainable and electrified transportation infrastructure (e.g., aerial drones and electric vehicles), successful candidates will also be able to apply these methods to an array of emerging applications. Energy systems optimization, resilience of complex networks (e.g., power grids with renewable energy resources), and cyber-physical security of smart systems (e.g., smart manufacturing, smart grid systems). To learn more about Dr. Tanveer Hossain Bhuiyan’s research, please visit google scholar profile.

Required Qualification for Full Funded PhD Position Applicant

Following requirement should me full fill for the full funded PhD scholarship.

  1. B.S. OR M.S. degree in Industrial Engineering, Management Science, Mathematics, Electrical Engineering, Operations Research, or a closely related discipline
  2. Having an M.S degree is preferred.
  3. Strong background in mathematical modeling and statistics.
  4. Preference will be given to the candidates having strong competence in a programming language (Python preferred) and in optimization slovers, such as Gurobi, CPLEX.
  5. Experience in machine learning is a plus.
  6. Tofel/IELTS score.

Require Documents for Full Funded PhD Scholarship

  1. A detailed CV.
  2. A brief statement (maximum two pages) describing your research interest, experience, and future goals.
  3. One sample publication (if available).


  1. Linkdin profile
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