Smart Structure System Lab (Advisor: Hoon Sohn in KAIST) is now recruiting graduate students (Civil and Environmental Engineering: Master’s and Doctoral courses, Graduate school of AI: Master’s course). We have been promoting the development and commercialization of world-class Structural Health Monitoring (SHM) and Nondestructive Testing (NDT) technologies. Recently, Prof. Sohn has been selected as the “Leader researcher” and supported as the highest level by the National Research Foundation of Korea. The research topic is ‘Online nondestructive evaluation for 3D printing process control’.

  • 1. Research areas

    • 3D printing online nondestructive testing
    • Application of statistical pattern recognition and machine learning
    • Laser and nonlinear ultrasonics
    • Active/Passive thermography
    • Please refer to the website for additional information. (http://ssslab.kaist.ac.kr/)

  • 2. Recruitment target

    • A. Civil and Environmental Engineering (https://civil.kaist.ac.kr)

      Master’s and Doctoral courses

    • B. Graduate school of AI (https://gsai.kaist.ac.kr)

      Master’s course

    • C. Robotics program (https://rp.kaist.ac.kr)

      Master’s and Doctoral courses

    • * Preferred students

      Students who are familiar with the engineering software. (e.g. Programming language (Python, C#, C++), LabVIEW, MATLAB, FEM (ABAQUS, ANSYS, FLOW-3D)) Students who have equipment usage experience related to Optics and Laser technology, Femtosecond laser, Ultrasonics, Thermography

  • 3. Eligibility

    Students who satisfy the admission requirements for KAIST graduate school. (https://admission.kaist.ac.kr/graduate/)

    Students who have obtained or are expected to acquire bachelor’s or master’s degree in Civil/Architect/Mechanical/Electronic/Computational engineering fields.

  • 4. Supports

    • Full support for admission, tuition, and registration fees: There is no fee that students should pay
    • Support for Labor cost: About 1.25 ~ 2.3 million won/month depending on the Master’s/Doctoral period.
    • Support for domestic/international conferences

  • 5. Application method

    Send a resume (CV) including academic background, experience, a field of interest, and reason for an application to Prof. Sohn (hoonsohn@kaist.ac.kr)

  • 6. Contact

    Professor Hoon Sohn: hoonsohn@kaist.ac.kr

    Doctoral student Kiyoon Yi: yikiyoon@kaist.ac.kr