Summary: The MSCE Lab (“Megascale”) within the Zachry Department of Civil and Environmental Engineering at Texas A&M University is seeking a motivated, fully funded Ph.D. student to begin in Fall 2027. The research opportunity focuses on computational fluid dynamics (CFD), numerical methods, solver development, and the integration of physics-based AI approaches.
Position Overview
| Detail | Information |
|---|---|
| Designation | Ph.D. Student / Graduate Research Assistant (RA) |
| Department | Zachry Department of Civil and Environmental Engineering (MSCE Lab) |
| Institution | Texas A&M University |
| Location | College Station, Texas, USA |
| Funding Status | Fully Funded |
| Start Term | Fall 2027 |
| Application Deadline | Open until filled (Rolling basis) |
Research Area
The selected Ph.D. researcher will focus on:
- Computational fluid dynamics (CFD) and numerical methods
- Solver development and modification
- Integration of physics-based Artificial Intelligence (AI) approaches
- Applications in environmental and energy systems, such as electrokinetic flow, biofilm dynamics, microscale multiphase flow, and coupled transport and reaction processes
Location
Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas, United States.
Scholarship Description
This is a funded Graduate Research Assistant (RA) position starting in Fall 2027. The successful candidate will join the MSCE Lab to conduct cutting-edge research across computational engineering and AI-driven fluid dynamics. Funding includes graduate assistantship support, tuition coverage, and research stipends in accordance with Texas A&M University departmental guidelines. Official appointments remain contingent upon formal departmental and graduate school admission.
Eligibility and Qualifications
- Required: Strong foundational background in computational fluid dynamics (CFD) and numerical methods.
- Required: Demonstrated programming proficiency in Fortran, C, or C++.
- Preferred: Prior experience in developing, modifying, or customizing CFD solvers.
- Plus: Exposure to or experience with physics-based AI applications.
- Academic Background: A master’s degree in computational and applied mathematics, mechanical engineering, civil/environmental engineering, or a related discipline is highly preferred. Exceptional applicants holding only a bachelor’s degree will also be considered.
- Language Proficiency: Must meet Texas A&M University’s graduate admission requirements for English language proficiency (if applicable).
How to Apply
Interested candidates should contact Dr. Yao directly by sending an email to yyao@tamu.edu with the subject line 2027 Fall Ph.D. RA [Your Name].
Please attach a single PDF file containing the following documents:
- A one-page cover letter detailing your academic background, research expertise, and specific interests in CFD and AI.
- A comprehensive Curriculum Vitae (CV).
- Unofficial transcripts highlighting coursework relevant to CFD and numerical methods.
- Proof of English language proficiency (if applicable).
Note: Only shortlisted applicants will be contacted for an interview. Applications will be reviewed on a continuous basis until the position is filled.
Last Date for Apply
Applications are reviewed on a rolling basis until the position is filled. Early inquiries are strongly encouraged.
Apply Link
Send application materials directly to: Email Dr. Yao (yyao@tamu.edu)
For further lab details, visit the MSCE Lab Recruitment Page.
