PRN

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PRN Research Assistant – Job Description

Position Overview

The GXR Lab is seeking a highly motivated and multidisciplinary Graduate Research Assistant to join our team in developing next-generation eXtended Reality (XR) systems. This role bridges the gap between physical mechanics, computer vision, and immersive digital environments. The ideal candidate will leverage expertise in physics-based simulation, computer vision, and mechanical design to support our current research portfolio—spanning AI-driven adaptive VR sports training (e.g., table tennis, golf), neurocognitive behavioral assessments, and video see-through AR for vision Therapy.

*This position is being funded by a grant and/or designated source and therefore continuation in the position is contingent upon funding availability.

Key Responsibilities

• Physics & Kinematic Modeling: Develop and validate real-time, physics-based simulations and finite element models to refine biomechanical movement tracking and optimize training transfer from virtual to real-world environments.

• Computer Vision Integration: Implement OpenCV and data-driven pipelines to monitor, track, and analyze user skeletal information, attention data, and reaction times within controlled virtual environments.

• Haptic & Hardware Design: Design, 3D print (FDM/SLA), and rapidly prototype passive haptic devices, wearable sensor housings, and intuitive mechanical control interfaces to bridge the gap between physical mastery and virtual interaction models.

• Collaborative System Development: Partner with domain-specific researchers to construct adaptive AI-coaching platforms, ensuring accurate physical feedback loops for tasks requiring high motor dexterity and precision.

Required Technical Skills & Qualifications

• Education: B.S. in ME or CS and pursuing a PhD in ME, CS, or a closely related field.

• Software & Simulation: Proficiency in Python, OpenCV, C++, MATLAB, and Finite Element Analysis (FEA) tools (such as Abaqus or SolidWorks simulation modules).

• Hardware & Design: Experience with Computer-Aided Design (SolidWorks, Creo, Autodesk Fusion) and hands-on rapid prototyping techniques (FDM/SLA 3D printing).

• Core Competencies: Strong alignment with research exploring data-driven physical simulation, soft-bodied interactions, or biomimetic system mechanics.

Function

Unclassified Positions

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.