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Title Information

Assistantship TitleGraduate Research Assistant

Job Class Code10095

FLSAExempt

Minimum Qualifications

Minimum Qualifications

1. Currently 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 NumberA0868

Working TitleResearch Assistant_Informatics & Engineering Systems

LocationBrownsville, Texas

CollegeCollege of Engineering and Computer Science

DepartmentCollege of Engineering and Computer Science / Informatics & Engineering Systems

DivisionProvost - Academic Affairs

FTE.5

Scope of Job

The Graduate Research Assistant ( GRA ) will be based at the Brownsville campus and will support an NSF -funded project on understanding tremor propagation (TP) in the human upper limb through advanced musculoskeletal modeling, muscle fatigue modeling, and simulation of tremor-suppression devices. The 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.

Discipline Specific Required Qualifications

The GRA position is open to master’s students inMechanical EngineeringorElectrical Engineering. Candidates should have experience or strong interest in at least one of the following areas:

+ System dynamics and control

+ Biomechanics and musculoskeletal modeling

+ MATLAB /Simulink, OpenSim, or similar modeling tools

+ Robotics, mechatronics, or rehabilitation devices

Duties will include literature review, modeling and simulation of tremor propagation, analysis of muscle fatigue and tremorogenic muscles, and assisting in the simulation of tremor-reduction devices such as orthoses or functional electrical stimulation ( FES ) systems.

Preferred Qualifications

+ Coursework or project experience in dynamics, control, modeling, and simulation

+ Familiarity with computational modeling software (e.g., MATLAB , Simulink, OpenSim).

+ Interest in rehabilitation robotics or medical devices

+ Strong communication and teamwork skills

SalaryCommensurate with experience.

Number of Vacancies1

Desired Start Date01/01/2026

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 Date11/04/2025

Special Instructions to Applicants

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 Linkhttps://careers.utrgv.edu/postings/37581

Posting Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

+ Resume

+ Unofficial Transcripts

Optional Documents