서울대학교 Medical AI and Core AI 분야, 인턴, 석사/석박통합/박사 과정 대학원생, 포스닥 항시 모집
관심 있는 분들은 자기소개서(+CV)와 성적표 등을 첨부하여 kyskim@snu.ac.kr로 연락해 주시기 바랍니다 (6개월 전 인턴 권장).
[+ AlphaFold 고도화 최신 생성 Core AI 원천 기술 (신약 개발 AI, 공동 지도 가능) or 경량화 LLM 최신 Core AI 원천 기술, 석박통합 모집 : CS Background (+이론 혹은 관련 경력) 필수]
[News at 202505] 서울대학교 AIBL 연구실에서는 2026년 3월 입학 예정인 석·박사 통합과정 연구원을 모집합니다.
모집 분야 (1) / (2)
(1) 신약 개발 AI: AlphaFold 고도화 기반 첨단 분자 생성 모델 연구·개발
(2) 엣지 LLM AI: 의료 멀티모달 기반 첨단 경량 언어모델 (SLM) 연구·개발
본 연구원 선발은 산학협력 매칭 프로그램을 기반으로 진행되며, 최고 수준의 학문적 AI 연구와 산업 현장 AI 연구 경력을 동시에 쌓을 수 있는 기회를 제공합니다.
※ 지원자는 선발 전 (약 6개월 이상) 인턴십 이수가 권장되며, 이후 심사를 거쳐 최종 선발됩니다.
(경쟁률이 높은 만큼, 제출 서류를 성실히 준비해주시기 바랍니다.)
Core AI 및 Biomedical AI 의 모든 분야에서 최고의 연구 경력 커리어를 쌓고자 하는 분들의 많은 관심과 지원을 바랍니다.
Recruitment Announcement for Graduate Students in Medical/Core AI Master's, Integrated Master's-Ph.D., Ph.D., Postdoc Programs at Seoul National University
For interested individual, please send your personal statement(+CV) and transcript to kyskim@snu.ac.kr (Korean or English).
[+ Additional Notice (Since 03/2025) : I am currently recruiting PhD or integrated MS-PhD students under joint supervision with Prof. Seo Hyungseok for research on cutting-edge AI technologies based on AlphaFold. Don’t miss this valuable opportunity: Please send me an email at kyskim@snu.ac.kr with the required/above information]
Lab Description:
The Artificial Intelligence and Biomedical Informatics Lab (AIBL: https://aibl.snu.ac.kr/) at Seoul National University develops the latest AI fundamentals to state-of-the-art bioinformatics AI technologies, to train both Core (diffusion theory-based) AI + Biomedical (computational Imaging and 3D biostructure like protein/molecule-based) AI experts capable of publishing papers in world-renowned top AI conferences and bioinformatics AI journals. Our lab supports growth beyond the simple title of AI expert by developing advanced AI technologies applicable to medical and biomedical data, fostering development into professionals in medical AI.
The principal investigator of the lab, Professor Kyungsu Kim, is affiliated with the School of Transdisciplinary and Innovation (for General/Medical AI fields), the College of Medicine (Department of Medical Science), and the AI Graduate School at Seoul National University. Through a diverse collaborative network in medical and biomedical fields, the lab provides researchers with the opportunity to handle real-world medical data, not just publicly available datasets.
The development of medical AI, which involves dealing with patients' lives, has a higher level of difficulty and more restrictions on data access than general AI development, resulting in a high entry barrier. However, our lab has a systematic system in place to overcome these challenges. We welcome applications from individuals with passion and motivation who aspire to grow into AI technology experts capable of developing not only Core and Fundamental AI but also globally commercialized AI solutions in the medical field.
Role Description:
We are recruiting full-time Master's, Integrated Master's-Ph.D., and Ph.D. students to work as AI researchers at Seoul National University (Seoul, South Korea). This role includes researching and developing AI algorithms, data analysis, pattern recognition, statistical modeling, and collaborating with a team of experts to advance AI core technologies and their applications.
Key Responsibilities:
Support distinctive growth as both core AI and biomedical AI expert, by presenting and publishing papers in world-renowned top AI conferences and top bioinformatics AI journals
Collaborate with AI researchers and medical expert teams to drive innovative AI solutions
Qualifications:
Capabilities or potentialities related to Computer Science (or AI) together with Mathematic Science (to understand Diffusion-like theory) or Biochemistry (e.g. to understand Alphafold) or (Electrical+/Biomedical+) Engineering (e.g. to understand Core+Medical SW+HW AI system) or Bioinformatic (to understand Multimodal pathological AI) fields (Undergraduate double major or similar experience preferred)
Strong motivation and experience in the field of AI (preference for top AI conference publication)
Proficiency in AI/CS programming languages such as Python or C++