The University of North Carolina is offering a fully funded PhD position in the field of 3D/4D SLAM and Inverse Rendering for Endoscopy, supported by NIH funding. This opportunity is ideal for students with a strong background in 3D computer vision and a passion for medical robotics and visualization. The research is highly collaborative, involving partnerships with roboticists, medical imaging researchers, and clinicians specializing in gastroenterology, ENT, and pulmonology. The project aims to advance the state-of-the-art in endoscopic imaging and visualization, building on prior works such as the PPSNet endoscopy depth estimator (ECCV'24) and NFL-BA 3D SLAM for endoscopy (NeurIPS'25). Students will have the opportunity to publish in top-tier venues in computer vision, machine learning, robotics, and medical imaging. The position is based in the Computer Science department at the University of North Carolina, a leading institution in the United States. Applicants are expected to have a strong foundation in 3D computer vision, with experience or interest in SLAM, inverse rendering, and medical imaging. The position is NIH funded, ensuring financial support for the duration of the PhD. To apply, candidates should email their CV to [email protected] and complete the formal application process through the UNC Computer Science PhD program. For more information, visit the project pages at ppsnet.github.io and asdunnbe.github.io/NFL-BA/.