KAIST 산업및시스템공학과(ISE)와 데이터사이언스대학원(GSDS)에서 전임직 신임 교원(조교수/부교수/정교수)을 초빙합니다. 산업공학 및 데이터사이언스 전 분야를 대상으로 하며, 특히 아래 분야를 중점적으로 모집합니다.

■ 모집 분야

• AI for Manufacturing:
  • Intelligent robot control & task planning (LLM / VLM driven)
  • Collaborative robots & human-robot interaction
  • Machine vision and quality control
  • AMR/AGV group control for in-plant logistics
  • Digital twin for smart manufacturing
  • AI/ML-based optimal process/equipment/machine control and shop-floor control
• Fundamentals in ISE and Data Science:
  • Probability and statistics
  • Stochastic models and queueing theory
  • Optimization methodology (continuous or discrete/combinatorial)
  • Optimization algorithms in quantum computing
  • Core AI/ML theory
  • Human-centric engineering
• Applications-oriented decision science to solve industrial or social problems:
  • healthcare analytics, financial engineering, business analytics for societal problems
  • decision making under uncertainty in various applications

■ 응시자격

• 자세한 사항은 첨부파일을 참고하시기 바랍니다.

■ 접수기간: 2026년 6월 18일 ~ 7월 10일

■ 제출서류: KAIST 전임직 교원 임용지원서(첨부 양식), CV, 대표논문 3편 이내

■ 접수방법: 이메일 제출 — hyshin@kaist.ac.kr (교원서치커미티 위원장, 신하용 교수)

■ 문의: 신하용 교수 (042-350-3124, hyshin@kaist.ac.kr) / 산업및시스템공학과 행정실 (042-350-3102, nohsj@kaist.ac.kr)

Tenure-Track Faculty Positions — KAIST ISE & GSDS

The Department of Industrial & Systems Engineering (ISE) and the Graduate School of Data Science (GSDS) at KAIST invite applications for tenure-track faculty positions at the Assistant/Associate/Full Professor levels. We welcome candidates across all areas of ISE and data science, with special emphasis on the following.

■ Areas of Emphasis

• AI for Manufacturing:
  • Intelligent robot control & task planning (LLM / VLM driven)
  • Collaborative robots & human-robot interaction
  • Machine vision and quality control
  • AMR/AGV group control for in-plant logistics
  • Digital twin for smart manufacturing
  • AI/ML-based optimal process/equipment/machine control and shop-floor control
• Fundamentals in ISE and Data Science:
  • Probability and statistics
  • Stochastic models and queueing theory
  • Optimization methodology (continuous or discrete/combinatorial)
  • Optimization algorithms in quantum computing
  • Core AI/ML theory
  • Human-centric engineering
• Applications-oriented decision science to solve industrial or social problems:
  • healthcare analytics, financial engineering, business analytics for societal problems
  • decision making under uncertainty in various applications

■ Qualifications

• For more details, please refer to the attached file.

■ Application Period: June 18 – July 10, 2026

■ Required Documents: KAIST faculty application form (official), up-to-date CV, up to 3 representative papers

■ How to Apply: Email submission — hyshin@kaist.ac.kr (Prof. Hayong Shin, Hiring Committee Chair)

■ Inquiries: Prof. Hayong Shin (hyshin@kaist.ac.kr)