A Research/Teaching Assistant position is available in the Artificial Intelligence and Machine Learning for Multiscale Modeling (AIM3) Lab. The mission of the AIM3 is to develop efficient yet accurate computational methods and tools for manufacturing, design, and analysis of advanced materials and structures.
The research assistant will develop physics-informed/constrained machine learning models for computational mechanics problems with the application to fiber-reinforced composites, 3D printed lattice metamaterials, and smart materials. A bachelor’s degree in mechanical engineering, aerospace engineering, or other related areas is required. A graduate student with a master’s degree is preferred. Research experience in solid mechanics, structural mechanics, finite element modeling, composite materials, and basic machine learning models is highly desired.
Qualification requirements:
- Strong interest in advanced materials and structures
- Solid understanding of the basic concepts of mechanics of materials
- Familiar with finite element method and software package Abaqus
- Hands-on experience in programming (fortran, c++, python)
- Self-motivation to perform cutting-edge research in real-world engineering and to publish scholarly papers
Admission requirements can be found at https://www.uta.edu/admissions/apply. Interested applicants please send an email to Dr. Liu (xin.liu@uta.edu) with an up-to-date CV and transcript.