UO
Research Position

Research Assistant in Materials Science and Additive Manufacturing

Deadline
Mar 05, 2027
Closing in 137 days
Location
N/A
United States
Employment
None
Full or part time
Reference
N/A
Posted Sep 08, 2026

About the role

The University of Texas Rio Grande Valley Job Site Research Assistant in Materials Science and Additive Manufacturing Research Assistant in Materials Science and Additive Manufacturing

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply for this Job link/button.

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Bookmark this Posting Print Preview Apply for this Job Please see Special Instructions for more details.

If you are interested, please send the following ASAP to Dr. AMM Nazmul Ahsan at [email protected] :

  • Current CV,
  • How you meet the qualifications in 2/3 sentences or bullet points, and
  • Unofficial graduate+undergraduate transcripts.
  • This position is expected to be filled immediately.

    All applications must be submitted via the UTRGV application portal at https: // careers.utrgv.edu. If you are applying for the first time, please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application. A Criminal Background Check must be conducted for all applicants.

    Posting Details

    Title Information

    Assistantship Title Graduate Research Assistant

    Job Class Code 10095 FLSA Exempt Minimum Qualifications

  • 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 the summer session(s)), or in the required number of semester credit hours to fulfill the only remaining requirements on the degree plan.
  • Position Information

    Posting Number A1346

    Working Title Research Assistant in Materials Science and Additive Manufacturing 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 FTE .5 Scope of Job 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 be immediately recruiting 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. This 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 realm, with applications in energy and extreme environments. The candidate will receive a monthly stipend and tuition support. Discipline Specific Required Qualifications The Research Assistant assistantship award is available to master's and doctoral students who are assigned to a specific faculty member who is conducting research or a scholarly endeavor. Duties will vary depending on the project and assigned research/scholarly functions, or other creative aspects. Preferred Qualifications

  • 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 Ph.D. applicants)
  • Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning
  • Proficiency in Python programming is preferred
  • Salary Commensurate with experience. Number of Vacancies Multiple Desired Start Date 06/01/2026

    Posting Detail Information

    EEO Statement 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, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.

    Open Date 01/27/2026 Special Instructions to Applicants If you are interested, please send the following ASAP to Dr. AMM Nazmul Ahsan at [email protected] :

  • Current CV,
  • How you meet the qualifications in 2/3 sentences or bullet points, and
  • Unofficial graduate+undergraduate transcripts.
  • This position is expected to be filled immediately. All applications must be submitted via the UTRGV application portal at https: // careers.utrgv.edu. If you are applying for the first time, please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application. A Criminal Background Check must be conducted for all applicants. Quick Link https: // careers.utrgv.edu/postings/50078

    Posting Supplemental Questions

    Required fields are indicated with an asterisk ().

    Applicant Documents

    Required Documents

  • Resume
  • Unofficial Transcripts
  • Other Document
  • Optional Documents

    How to apply

    Read the full posting, then apply through the employer's own site. Applications are handled by the institution, not by AcademicGates.