Notice
(공지) 우리 연구실과 함께할 포닥, 대학원생(석박통합/석사/박사) 연구원을 모집합니다 😀😀
🚨🚨 We are currently recruiting a Post-doc Researcher (available from Sep. 2026) and are also welcoming outstanding M.S/Ph.D/Integrated Ph.D students to join the Data-Centric AI Research Group.
We welcome motivated M.S. and Ph.D. students eager to explore next-generation intelligent systems that connect language, perception, and action.
If you’re excited about building efficient and interactive AI, join DCAL! 😁
News🎉
(08.2026) Our team at Jeju National University has been selected for the IITP-funded AI Star Fellowship 2026 in collaboration with Konkuk University, NC AI, AIVIS, and Metsakuur Company (6-year, KRW 11.0 billion project).
(07.2026) Our team at Jeju National University has been selected for the G-LAMP Program 2026 in the AI research area, funded by the Ministry of Education (MOE) and the National Research Foundation of Korea (NRF) (5-year, KRW 12.5 billion project).
DCAL provides researchers with access to a large-scale AI computing infrastructure🔥
20× NVIDIA RTX A6000, 8× NVIDIA H100 GPUs, 4× NVIDIA RTX PRO 6000, NVIDIA DGX Spark, and 100TB storage🔥
About DCAL
Welcome to DCAL, the Data-Centric AI Research Group in the Dept. Artificial Intelligence at Jeju National University. Our lab is at the forefront of AI innovation, focusing on advancing intelligent systems through data-driven approaches. By integrating AI with data science, we aim to create cutting-edge solutions that address real-world challenges.
Our current research directions encompass both fundamental AI technologies and emerging applications in areas such as Physical AI (Embodied Intelligence, Robotics, and Human-AI Interaction), bridging perception, reasoning, and action through intelligent models.
Key research areas of our lab are as follows:
Data-Centric & Generative AI
Large Language Models & Large Multimodal Systems
Physical AI (Embodied & Interactive Intelligence)
Natural Language Processing
Machine Learning & Deep Learning
제주대학교 데이터(D) 중심(C) 인공지능(A) 연구실(L)에 오신 것을 환영합니다!
우리 연구실은 다양한 도메인에 활용될 수 있는 LLM 기반 인공지능 모델을 연구합니다. CNN, RNN, Transformer 등 인공지능 기초 이론에 대한 심층적 이해를 바탕으로, 모델 경량화, 양자화, 미세조정 등 최신 생성형AI/피지컬AI 기술을 실질적으로 구현하는 데 주력하고 있습니다.
무엇보다, 데이터·모델·인프라의 자율적 통제와 기술 주권 확보를 지향하는 소버린AI(Sovereign AI) 패러다임을 핵심 연구 방향으로 삼아 국내외 AI생태계의 전략적 가치 제고에 기여하고자 합니다.