Potential Students
I am actively looking for motivated and talented PhD students to join my group at Texas Tech University (TTU).
Applicants who are interested in pursuing research in the field of Numerical Analysis or Computational and Applied Mathematics, please follow the instructions below.
Research Topics
Numerical analysis of time-dependent PDEs, with an emphasis on developing novel advanced time integration methods for multiphysics nonlinear differential equations. These methods are applied to models in meteorology (numerical weather prediction), computational fluid dynamics, computational biology, and visual computing. Currently, our group is working on innovative time integration methods, including Exponential Integrators and Multirate Integrators . For more details, please visit the Research tab.
Application Procedure
Required Documents:
- Motivation letter (describe your previous research or studies and how they align with the research topics mentioned above).
- CV: include a list of previous scientific expertise/publications (if applicable).
- Scanned copies of transcripts of records for BSc and the Master (if applicable).
- A copy of BSc or MSc thesis in Mathematics/Computational Mathematics/Applied Mathematics.
- [ For international applicants ] Proof of fluency in English: a minimum TOEFL iBT score of 84 or IELTS minimum score of 6.5.
- A satisfactory GRE score.
- Two recommendation letters.
How to submit your application:
- Please prepare all the required documents above (except for the two recommendation letters which must be sent separately by your two references) in one PDF file (max size 20 MB; name it as " YourFullname_application_phd .pdf").
- Email the PDF file to vu.luan@ttu.edu using the subject line "Application PhD" by December 15 (for Fall) and May 15 (for Spring).
Note: Only complete applications will be reviewed.
- The successful candidate must also apply online through TTU Graduate School . Note that the application deadlines to TTU Graduate School are January 15th for Fall semester and June 15th for Spring semester.
Benefits:
- Full-time stipend, tuition fee, health insurance, research/education supplies, and equipment on campus.
- TA (Teaching Assistant) jobs are usually available for several semesters to gain teaching experience.
- Additional funds for travel (conferences) may be available.
- Opportunities to collaborate with multidisciplinary researchers.
- Possible summer internship opportunities at several national labs in the US (depending on performance in coding as well).
About Texas Tech University (TTU) and Department of Math & Stats
- TTU, established in 1923, is a huge and beautiful campus (please see a virtual tour at YouTube link ), located in Lubbock - a midsize city in the West of Texas. Lubbock has a nickname, "Hub City" because it serves as the economic, educational, and health-care hub of the multicounty region. It is the 10th-most populous city in Texas and the 84th-most populous in the US.
- TTU is the flagship institution of the five institutions in the Texas Tech University System (with an endowment of $3.06 billion as of 2024), and is typically ranked among the top 100 public universities in the US. It is classified as an R1 doctoral university , indicating the highest level of research activity. As of Fall 2024, TTU had an enrollment of 40,969 students, making it the sixth-largest university in Texas by enrollment.
- The Department of Mathematics & Statistics is one of the largest on the TTU campus, with about 50 tenured and tenure-track professors working in various fields of mathematics and statistics. Our department is ranked #70 in Applied Mathematics ( EduRank ) and #103 in Mathematics ( US News ) among universities in the US.
Questions: Please feel free to contact me at vu.luan@ttu.edu