Research Assistant_Informatics & Engineering Systems
Posting DetailsTitle InformationAssistantship TitleGraduate Research AssistantJob Class Code10095FLSAExemptMinimum QualificationsMinimum QualificationsCurrently admitted to a graduate degree programBe in good academic standingBe registered full-time for the respective semester (nine semester credit hours during the fallsemester, 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 InformationPosting NumberA0868Working TitleResearch Assistant_Informatics & Engineering SystemsLocationBrownsville, TexasCollegeCollege of Engineering and Computer ScienceDepartmentCollege of Engineering and Computer Science / Informatics & Engineering SystemsDivisionProvost - Academic AffairsFTE.5Scope of JobThe 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 QualificationsThe GRA position is open to master's students in Mechanical Engineering or Electrical Engineering . Candidates should have experience or strong interest in at least one of the following areas:System dynamics and controlBiomechanics and musculoskeletal modelingMATLAB/Simulink, OpenSim, or similar modeling toolsRobotics, mechatronics, or rehabilitation devicesDuties 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 simulationFamiliarity with computational modeling software (e.g., MATLAB, Simulink, OpenSim).Interest in rehabilitation robotics or medical devicesStrong communication and teamwork skillsSalaryCommensurate with experience.Number of Vacancies1Desired Start Date06/01/2026Posting Detail InformationEEO StatementIt 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 Date05/07/2026Special Instructions to ApplicantsAll 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