InnoCORE-LLM
AI Research Center for Enhanced Reasoning, Domain Specialization, Multimodal Expansion, and TrustworthinessÂ
AI Research Center for Enhanced Reasoning, Domain Specialization, Multimodal Expansion, and TrustworthinessÂ
🔍Now Hiring: InnoCORE Postdoctoral Fellows Â
(50 positions available)
Welcome to InnoCORE-LLM Research Center!Â
Our research center consists of 26 faculty members from KAIST, DGIST, GIST, UNIST, Seoul National University, and Yonsei University.
We invite outstanding postdoctoral researchers to apply in the following priority areas:Â
Enhanced Reasoning, Domain Specialization, Multimodal Expansion, and Trustworthiness
If you’re interested in applying, please fill out both forms below.
General InnoCORE Fellowship Application (Required)
InnoCORE-LLM Research Center Application (Required)
For any questions or further information, don’t hesitate to reach out to us at jchoo@kaist.ac.kr.
Basic Information
Salary
Provide KRW 90+ million per year through project linkages
Work Location
KAIST and affiliated institutions (DGIST, GIST, UNIST, and SNU)
Additional research spaces in Seoul/Gyeonggi (including NAVER 1784 HQ)
OpportunitiesÂ
Offer joint-research projects with Stanford, MIT, NYU, etc.
Dedicated GPU clusters via corporate industry partnerships
Inquiries
Prof. Jaegul Choo, a head of InnoCORE-LLM Research Center
Job Fair in progress
Boston (Jun. 18), New York (Jun. 20), Silicon Valley (Jun. 23)
Carrer site
InnoCORE-LLM is Korea's flagship AI research initiative dedicated to developing next-generation Large Language Models with enhanced reasoning, domain specialization, multimodal capabilities, trustworthiness, and comprehensive evaluation.
InnoCORE-LLM is supported by Korea's top research institutions and leading industry partners:
Academia
27 faculty members from KAIST, DGIST, GIST, UNIST, and Seoul National University
Industry Partners
9 leading organizations including Naver, LG AI Research, IBM Research, Upstage, FuriosaAI, Samsung Seoul Hospital, and more
Global Collaboration
Partnerships with Stanford, MIT, UC Berkeley, CMU, and other world-class institutions