Masters and PhD Scholarship @ KAIST, South Korea (Early Track)

The Opportunity

KAIST invites applications for multiple Masters and PhD positions in various areas of Transportation engineering under multiple research projects

Research Topics

  • Machine learning in Transportation
  • Safety analytics
  • Data science in Transportation
  • Simulation, including VR/AR
  • Advanced transport planning strategy
  • Modeling temporal-spatial analysis


  • Tuition fee

  • Monthly stipend

  • Participating in research and development projects

  • Attending domestic and international conferences

 Qualification Requirements

  1. Applicants must have completed at least a bachelor’s degree in the following areas: Information Technology, Computer Science, Engineering or Data Science, Transport engineering, or Urban planning.
  2. The applicant must have a strong academic record, which, for example, a grade point average (GPA) of 3.0 (out of 4.0) or higher or equivalent to H1 or First-Class Honours Degree.
  3. The applicant is highly recommended to have some knowledge/background and a strong interest in the following areas: machine learning, big data, simulation, and modelling.
  4. Analytical skills and programming languages such as Python and C.
  5. Published SCI papers are preferable.
  6. The following criteria will be considered during the assessment:
    • Candidate’s academic performance in the bachelor’s degree (or Master’s degree),
    • Quality of the degree completed,
    • Completion time of the degree,
    • Knowledge in the relevant research field, including any publications in reputable journals and conferences,
    • English language proficiency and
    • Online interviews and references.

Expected commencement date: The selected applicants will be admitted in the fall semester in 2023.

Faculty/Portfolio: Cho Chun Shik Graduate School ( )

Location: Daejeon, South Korea

Send CV by: 16 Dec 2022

Casual Interview: Selected candidates will be given an interview after 16 Dec 2022

Inquiries shall be sent to:

The Lead Chief Investigator, Dr Inhi Kim,

Detailed information for application