Saint Louis University
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Post Doctoral Fellow: AI, XR, & Human-Centric Simulation Saint Louis University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
Saint Louis University
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About this position
Saint Louis University is offering a postdoctoral research fellow position focused on the intersection of modern AI, computer graphics, and VR/AR/XR human-computer interaction. The role is centered on using immersive technologies as a medium for behavioral transformation, especially in high-fidelity motor skill acquisition and the enhancement of social communication.
The fellow will contribute to research on AI-driven, physics-based simulations for learning complex physical tasks and on immersive social environments that use responsive virtual agents to improve interpersonal communication. The project direction connects real-time feedback loops, biomechanical modeling, adaptive training environments, and evaluative frameworks for social interaction.
The position sits within an active research context linked to the group’s current and past projects, with work spanning intelligent motor skill learning and social/soft skill enhancement. The successful candidate will build and maintain prototypes that combine real-time physics with modern AI models, and will help advance research for venues such as SIGGRAPH, IEEE VR, and CHI.
In addition to research development, the fellow will support teaching and curriculum development in computer graphics and virtual reality, help design lab assignments, mentor students, and co-supervise Ph.D. and undergraduate researchers. The advert emphasizes a collaborative and inclusive laboratory environment and a role with both research leadership and instructional contribution.
Funding details
Available
What's required
Ph.D. in Computer Science, Robotics, HCI, or a related field is required. The post also expects strong ability in modern AI, computer graphics, VR/AR/XR, and human-computer interaction, with experience or interest in physics-informed neural networks or reinforcement learning, immersive prototype development, teaching support, and student mentoring.
How to apply
Apply through the Workday application link provided in the advert. Submit the materials requested on the application portal and follow any instructions there.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.