The AIIP Lab is continuously offering opportunities for talented people joining our research team. We encourage you to contact us for not only graduate admissions with research assistantship but also postdoctoral opportunities. We also offer opportunities of internship for talented undergraduate students so that they can have preliminary research experience.

Please feel free to contact us for more information.

Postdoctoral Position in Deep Learning for Mobile 3D Dental Reconstruction

The AIIP Lab (Artificial Intelligence and Image Processing Laboratory) at Sun Moon University, Republic of Korea, is looking for an exceptional and creative postdoctoral researcher to join the AIIPasa Project, which aims to develop personalized anti-snoring oral devices based on 3D dental reconstructions from mobile imagery. This position will lead research into state-of-the-art neural 3D reconstruction techniques, particularly under the constraints and challenges of using only smartphone cameras. While the primary goal is to reconstruct 3D dental geometry from monocular RGB images, we are also exploring the use of ToF sensors, Apple’s TrueDepth, and low-cost physical aids (e.g., intraoral mirrors) to address severe occlusion of intraoral surfaces—an anticipated challenge in this project.

Position Overview

• Title: Postdoctoral Researcher in Deep Learning / Computer Vision

• Location: AIIP Lab, Sun Moon University, Asan, South Korea

• Duration: 1 year initial contract (with possibility of renewal for 2+ years based on performance)

• Start Date: Preferably before September 2025

• Type: Full-time (Research-focused)

• Visa Support: Full sponsorship and administrative support for international applicants

Research Topics

• Neural surface reconstruction (e.g., NeRF, 3D Gaussian Splatting (3DGS))

• Multi-view geometry under occlusion and lighting constraints

• Self-supervised learning and mobile-based 3D capture

• Integration of auxiliary capture tools (depth sensors, mirrors)

Required Qualifications

• Ph.D. in Computer Science, AI, Electrical Engineering, Biomedical Engineering, or a related field

• Proven expertise in 3D vision, neural rendering, multi-view geometry, or medical imaging

• Hands-on experience with NeRF, 3DGS, or related implicit surface reconstruction models

• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

• Publications in top-tier conferences (CVPR, ICCV, ECCV, MICCAI, NeurIPS, ICRA, etc.) or top SCI journals

• Excellent English communication skills (Korean is optional)

Preferred Attributes

• Experience in embedded/mobile deep learning or mobile 3D perception

• Background in occlusion-aware geometry modeling

• Creative, independent, and self-driven research mindset

• Demonstrated writing ability (journal-quality manuscripts)

• Strong leadership and mentoring skills, with potential to guide junior researchers

• Willingness to work collaboratively with the PI and within a multidisciplinary team

Infrastructure & Benefits

• Access to 7 high-performance GPU servers equipped with 35× NVIDIA RTX A6000 GPUs and 1× NVIDIA H100 GPU

• Clean and quiet lab space optimized for research

• Competitive salary commensurate with experience

• Full visa assistance for international researchers

• Potential opportunity for teaching undergraduate/graduate courses

• Generous support for conference travel, publications, and patents

Application Procedure

Please email the following documents to Prof. Wonsang You at wyou@kaist.ac.kr:

• Curriculum Vitae (including full publication list)

• One-page research statement (research interests + relevance to this project)

• Contact information for at least two academic/professional references

• Representative publications or project portfolio

Review begins immediately and will continue until the position is filled. Early applications are encouraged, especially for those available before September 2025.

Graduate Program

We offer the outstanding graduate program for master and PhD degrees, specialized in artificial intelligence and image processing. The tuition fee will be either almost reduced or exempted with graduate scholarships. You will be also funded as you participate in a research project. You will study in the Department of Information and Communications Engineering in Sun Moon University.