The LUNA 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.
We offers an outstanding graduate program for Master’s and Ph.D. degrees, specializing in the cutting-edge fields of Artificial Intelligence and Data Science. As a graduate student, you will be fully integrated into our vibrant research ecosystem, conducting advanced studies within the Department of Data Science at Dongduk Women’s University. We are committed to fostering world-class researchers by providing full financial support; you will receive a competitive stipend and scholarship through your participation in high-impact R&D projects, ranging from medical image processing to neuro-art AI. Our program focuses on bridging the gap between theoretical excellence and practical application, ensuring that every student has the opportunity to publish in top-tier journals and contribute to innovative technology that serves society.
LUNA Lab은 인공지능 및 데이터 사이언스 분야의 전문 인재 양성을 위해 석사 및 박사 학위 과정을 운영하고 있습니다. 본 대학원 과정은 동덕여자대학교 데이터사이언스 전공 소속으로, 최신 AI 이론 학습은 물론 의료 영상 처리 및 뇌공학 기반 AI 예술 등 창의적이고 도전적인 연구 기회를 제공합니다. 연구실은 학생들이 학업과 연구에만 전념할 수 있도록 강력한 지원 체계를 갖추고 있습니다. 프로젝트 참여를 통해 장학금과 생활비를 지원하며, 국내외 저명 학술지 논문 게재 및 글로벌 연구 네트워크 협업을 적극 독려합니다. 공학적 기술로 세상에 기여하고자 하는 열정적인 지원자들의 많은 도전을 기다립니다.
We invites motivated undergraduate students to join our research team through two distinct pathways. The Pre-Internship is an education-focused track for students who wish to build a foundation in AI research through faculty mentorship and lab seminars. For those with prior experience, the Research Internship provides opportunities to participate directly in ongoing R&D projects with stipend support, offering hands-on experience in medical and neuro-art AI. To apply, please send your CV and a brief statement of interest to Prof. Wonsang You (wyou@kaist.ac.kr).
LUNA Lab에서는 인공지능 연구에 열정을 가진 학부생을 위해 두 가지 인턴십 트랙을 운영합니다. Pre-Intern은 교수 멘토링과 세미나 참관을 통해 AI 연구의 기초를 다지는 교육 중심 과정이며, 기초 역량을 갖춘 학생을 위한 Research Intern은 실제 R&D 프로젝트에 참여하여 실무 경험을 쌓고 연구 수당을 받는 프로젝트 중심 과정입니다. 지원을 희망하는 학생은 이력서와 자기소개서를 유원상 교수 (wyou@kaist.ac.kr)에게 이메일로 제출해 주시기 바랍니다.
LUNA Lab (Life Understanding & Neuro-Art AI Laboratory) is seeking a highly motivated and creative Postdoctoral Researcher to lead a cutting-edge project on "Smartphone-based Generative 3D Oral Reconstruction." We aim to develop next-generation AI technologies by combining brain-inspired engineering principles with artistic generative capabilities. We are currently conducting an industry-academic collaboration project to develop technology for manufacturing sleep apnea treatment devices (MAD) using only smartphone images.
I. Job Description
The successful candidate will lead the development of a precision 3D dental model reconstruction system using RGB footage from smartphones.
Generative 3D Reconstruction: Developing generative models to overcome smartphone capture limitations (e.g., severe occlusion, variable lighting, motion blur).
Diffusion-based View Synthesis: Developing structural-conditional Diffusion models.
3D Gaussian Splatting (3DGS): Implementing and optimizing the Synthesis-Reconstruction Consistency Loop (SRCL).
No/Weak-pose Alignment: Researching geometric alignment techniques in the absence of camera pose information (e.g., utilizing DUSt3R).
II. Qualifications
A. Education:
Ph.D. in Computer Science, AI, Electrical Engineering, Biomedical Engineering, or a related field
(degree holders or candidates expecting to graduate before the start date).
B. Essential Technical Skills (Experience in at least one of the following is required):
Generative Models: Deep understanding and research experience with Diffusion Models.
3D Vision: Research experience in Neural Rendering, Multi-view Geometry, or 3D Reconstruction.
(Common) Proficiency in Python and Deep Learning Frameworks (PyTorch, etc.).
C. Language & Leadership:
Ability to communicate fluently and write high-quality research papers in English.
Korean proficiency is a plus but not required for candidates with exceptional research capabilities.
Leadership skills to mentor and lead a multi-national research team under the PI's guidance.
D. Preferred Qualifications:
Women scientists and researchers are strongly encouraged to apply.
First-author publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, MICCAI, etc.) or top SCI journals (JCR top 10%).
Hands-on experience with 3D Gaussian Splatting (3DGS), NeRF, or Transformer architectures.
Self-driven mindset with the ability to design and execute research independently.
III. Conditions & Benefits
Salary: Approx. 60 Million KRW/year (Approx. $42,000 - $45,000 USD, negotiable based on qualifications/experience).
Contract Duration: Initial 1-year contract.
Renewable based on performance and mutual agreement.
The exact appointment period is negotiable.
Start Date: March 2, 2026 (Negotiable, but early start is highly preferred).
Research Environment:
Access to top-tier computing resources including NVIDIA H100 and RTX A6000 clusters.
Full financial support for domestic/international conference travel and open-access publication fees.
IV. Application Instructions
Application Deadline: Open until filled (Rolling Basis).
Review of applications will begin immediately. Early submission is highly recommended.
How to Apply: Please submit the following documents via email to Prof. Wonsang You (wyou@kaist.ac.kr).
Required Documents:
Curriculum Vitae (CV): Including education, experience, and a full list of publications (Free format).
Graduation certificates and transcripts: Bachelor, Master, and Ph.D.
Cover Letter / Research Statement: Describing your relevance to this project (Generative AI, 3D Vision) and research interests.
Research Plan: A brief plan of research you intend to conduct if hired.
Representative Publications: PDF files or links to your key papers or portfolio.
References: Contact information (Name, Affiliation, Email) for at least two professional references.
V. Contact Information
For any inquiries regarding the position or the project, please contact :
Principal Investigator: Prof. Wonsang You
Email: wyou@kaist.ac.kr