Research Assistant in Materials Science and Additive Manufacturing
Listed on 2026-07-19
-
Engineering
-
Research/Development
Research Assistant/Associate
Graduate Research Assistant
Title:
Graduate Research Assistant FLSA Status:
Exempt Job Class Code: 10095
- Must be admitted to a graduate degree program
- Be in good academic standing
- Be registered full-time for the respective semester (nine semester credit hours during the fall semester, nine semester credit hours during spring semester, three semester credit hours during summer sessions), or in the required number of semester credit hours to fulfill remaining degree requirements.
Maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment may be increased up to forty (40) hours per week (100% FTE) during the summer if funded by a grant.
Dr. Ahsan’s Lab in the Department of Manufacturing and Industrial Engineering at UTRGV will recruit a motivated graduate (master’s/PhD) student to start as early as Summer 2026. The selected candidate will work on a funded research project focused on developing novel alloys for energy applications in harsh environments using additive manufacturing. The research involves integrating computational modeling, machine learning, and experimental investigations to design and characterize new alloys and composites fabricated via laser powder bed fusion additive manufacturing.
This work is closely woven into materials science, additive manufacturing, and machine learning, with applications in energy and extreme environments. The candidate will receive a monthly stipend and tuition support.
Required Qualifications
- Associate with the faculty advisor conducting relevant research or scholarly endeavors.
- Will be assigned project- and research-specific duties that may vary with the assigned project.
- Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or Materials Science and Engineering
- Master’s degree in Mechanical Engineering or Materials Science and Engineering (required for PhD applicants)
- Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning
- Proficiency in Python programming (preferred)
Commensurate with experience. Monthly stipend and tuition support provided.
Position Details- Number of Vacancies:
Multiple - Desired
Start Date:
06/01/2026 - Full-Time Equivalent: 5
- Location:
Edinburg, Texas - College:
College of Engineering and Computer Science - Department:
College of Engineering and Computer Science / Manufacturing and Industrial Engineering - Division:
Provost - Academic Affairs
It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, and other laws, our University is committed to compliance and non‑discrimination in all activities, including employment.
We encourage women, minorities and differently abled persons to apply for employment positions of interest.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).