Graduate Research Assistant (SOE)

Texas A&M University System • Laredo, TX

10d • Onsite

About The Position

The Graduate Research Assistant will work under the supervision of a professor and assist with research projects in intelligent engineering systems, autonomous technologies, reliability engineering, and artificial intelligence. The position involves hands-on research activities, data analysis, experimental validation, and technical documentation. This is an on-campus role requiring face-to-face interactions and regular attendance. Work schedules are set by the department to avoid conflicts with the student’s class schedule. The position is subject to funding and/or need.

Requirements

• Be enrolled at least half-time, or 3 credit hours per semester.
• Maintain a TAMIU overall GPA of 3.0.
• Meet all other requirements stated in TAMIU’s Satisfactory Academic Progress Policy (SAPP).
• Have an interest in engineering research.
• Be proficient in using a personal computer workstation with common software applications.
• Be able to organize and multitask functions to ensure compliance with deadlines.
• Have outstanding customer service skills.
• Have excellent interpersonal relationship and communication skills.
• Have problem analysis and problem-solving skills.
• Be able to learn and use multiple software programs.
• Maintain a regular schedule of attendance on campus and in the workplace.

Nice To Haves

• Experience with Python.
• Experience with MATLAB.
• Experience with C/C++.
• Experience in machine learning or artificial intelligence.
• Experience in data analysis.
• Experience in statistics.
• Experience in robotics.

Responsibilities

• Assist with data collection, preprocessing, and management.
• Conduct literature reviews and summarize technical papers.
• Assist with programming, simulation, or AI model implementation, depending on background.
• Prepare technical reports, presentations, and research documentation.
• Participate in regular research meetings.
• Perform other research-related tasks as assigned.
• Promptly complete all required training.
• Submit timesheets biweekly.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: No Education Listed