We are seeking a postdoctoral fellow with expertise in multimodal foundation models and neural rendering. The ideal candidate will hold a PhD in Computer Science, Electrical Engineering, or a related field and possess a strong foundation in computer vision and deep learning. Essential qualifications include first-author publications in top-tier conferences such as CVPR, ICCV, ECCV, or NeurIPS, along with excellent coding, analytical, and communication skills. Candidates with experience in neural rendering techniques (e.g., NeRF, Gaussian Splatting), 3D computer vision, and AR/VR/XR environments will be highly preferred.