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Summer Masters Computer Science Jobs in McAllen, TX

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Summer Masters Computer Science information

What is the difference between Summer Masters Computer Science vs Summer Data Science Intern?

AspectSummer Masters Computer ScienceSummer Data Science Intern
Required CredentialsUndergraduate or Master's in Computer Science or related fieldUndergraduate or Master's in Data Science, Computer Science, or related field
Work EnvironmentSoftware development, coding, algorithm designData analysis, modeling, statistical programming
Employer & Industry UsageTech companies, software firms, startupsTech companies, finance, healthcare, consulting

Summer Masters Computer Science roles focus on software development, coding, and algorithms, while Summer Data Science Intern positions emphasize data analysis, statistical modeling, and data-driven decision making. Both roles typically require similar educational backgrounds and are found in tech-driven industries, but they differ in daily tasks and skill emphasis.

What cities near McAllen, TX are hiring for Summer Masters Computer Science jobs? Cities near McAllen, TX with the most Summer Masters Computer Science job openings:
Research Assistant in Materials Science and Additive Manufacturing

Research Assistant in Materials Science and Additive Manufacturing

The University of Texas Rio Grande Valley

Edinburg, TX • On-site

Full-time

Posted yesterday


University Of Texas Rio Grande Valley rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

261st of 528 rated colleges and universities


Job description

Posting Details
Title Information
Assistantship Title
Graduate Research Assistant
Job Class Code
10095
FLSA
Exempt
Minimum Qualifications
  1. Must be admitted to a graduate degree program
  2. Be in good academic standing
  3. 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
  1. Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or Materials Science and Engineering
  2. Master's degree in Mechanical Engineering or Materials Science and Engineering (required for Ph.D. applicants)
  3. Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning
  4. 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 ammnazmul.ahsan@utrgv.edu :
  • 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

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