The MSCE Lab (“Megascale”), led by Dr. Noah Yao in the Zachry Department of Civil and Environmental Engineering at Texas A&M University, is recruiting one funded Ph.D. student to start in Fall 2026 or Spring 2027. This research will focus on computational electrokinetic flow in water treatment, resource recovery, and energy systems using computational fluid dynamics (CFD) simulations and physics-based AI methods.
The MSCE Lab is located in College Station, TX, a city renowned for its peaceful and safe environment. Situated within a 1.5-hour drive to Houston and Austin and a 3-hour drive to Dallas, College Station offers easy access to major cities in the region.
What do we expect from you?
- A background in CFD and numerical methods is required.
- Programming proficiency in Fortran, C, C++, or other relevant languages is required.
- Prior experience with physics-based AI applications is strongly preferred.
- A master’s degree in a relevant field, including but not limited to computational and applied mathematics or mechanical engineering, is highly desirable.
- Demonstrated background and preparation in the relevant areas will be valued more than the specific degree.
How to apply?
Interested candidates are encouraged to contact Dr. Yao at yyao@tamu.edu. Please use the subject line "2026 Fall Ph.D. RA [Your Name]" or "2027 Spring Ph.D. RA [Your Name]" (replacing [Your Name] with your actual name).
Please submit a single PDF file that includes:
- A one-page cover letter clearly describing your background, research expertise and interests in CFD and AI.
- Your curriculum vitae.
- Unofficial transcripts highlighting coursework related to CFD and numerical methods.
Formal applications through the graduate school system will be requested from strong candidates. All applicants must satisfy Texas A&M graduate program admission requirements. Application consideration will begin immediately and will continue until the position is filled.