Artificial intelligence (AI) and immersive simulation are redefining how surgeons learn—enhancing training outcomes, reducing errors, and improving patient safety.
Florida State University (FSU) invites applications for a Research Faculty position in AI for Surgical Simulation and Skill Assessment, housed within the FAMU-FSU College of Engineering.
This position offers an exciting opportunity to join a growing interdisciplinary research program that integrates AI, computer vision, and virtual reality (VR) to create next-generation systems for surgical training and evaluation. The successful candidate will help design AI-driven, data-informed simulation platforms that objectively assess performance, accelerate skill acquisition, and enable adaptive, personalized learning.
The position is ideally suited for a researcher passionate about combining machine learning, real-time simulation, and human performance modeling to create intelligent, interactive environments that enhance both technical precision and decision-making in surgery. The candidate will collaborate across departments and research centers, publish in leading journals, mentor students, and play an active role in securing competitive external funding to expand this rapidly advancing area.
ResponsibilitiesThe FAMU-FSU College of Engineering is a joint college of two nationally recognized universities, Florida A&M University and Florida State University, located in Tallahassee, Florida. The college offers undergraduate and graduate degree programs across six departments.
The successful candidate will have the opportunity to collaborate with world-class researchers through the College’s many interdisciplinary centers, including the High-Performance Materials Institute, Center for Advanced Power Systems, and the InSPIRE Institute. The position will be based in the Artificial Intelligence, Imaging, and Medical Simulation (AIMS) Laboratory, a state-of-the-art facility at FSU dedicated to advancing AI-driven surgical simulation, video-based skill assessment, and intelligent training technologies.