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September 8, 2025

**Job Description**
The Graduate Research Assistant (GRA) will support an NSF-funded project focused on understanding tremor propagation (TP) in the human upper limb through advanced musculoskeletal modeling, muscle fatigue modeling, and simulation of tremor-suppression devices. The role involves conducting literature reviews, performing modeling and simulation of tremor propagation, analyzing muscle fatigue and tremorogenic muscles, and assisting in the simulation of tremor-reduction devices such as orthoses or functional electrical stimulation (FES) systems. The maximum appointment is limited to twenty (20) hours per week (50%FTE) during the Fall and Spring semesters, and may be increased up to forty (40) hours per week (100%FTE) during the summer if funded by a grant.

**Skills & Abilities**
• Experience or strong interest in System dynamics and control
• Experience or strong interest in Biomechanics and musculoskeletal modeling
• Experience or strong interest in MATLAB/Simulink, OpenSim, or similar modeling tools
• Experience or strong interest in Robotics, mechatronics, or rehabilitation devices
• 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

**Qualifications**
Required Degree(s) in:
• Mechanical Engineering (for Master’s students)
• Electrical Engineering (for Master’s students)
Other:
• Currently admitted to a graduate degree program
• Good academic standing
• Registered full-time for the respective semester (nine semester credit hours during fall/spring, three during summer session(s)), or in the required number of semester credit hours to fulfill the only remaining requirements on the degree plan

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Work Level
Masters
Employment Type
Research Job
Salary
Annual Salary: Commensurate with experience
Details
Part-time Duration: Tied to graduate program and grant funding Location Requirement: Based at the Brownsville campus Brief location description: Campus-based Desired Start Date: 2025-09-01
School / Department / Center / Lab
• College of Engineering and Computer Science • Informatics & Engineering Systems
Supervisor Email
See Details
The University of Texas Rio Grande Valley (UTRGV)
View profile
Industry
Education
Phone
+1 956-665-2001 +1 956-665-**** Show
Location
Edinburg

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