The KAIST Visual AI Group is offering a paid research internship for undergraduate students interested in advancing machine-learning solutions for visual data. This internship will take place over approximately 57 days, providing a unique opportunity to work alongside leading researchers in South Korea.

  • 🗓 Deadline & Period: Apply by Nov 15, 2025; Internship from Dec 22, 2025 – Feb 27, 2026 (Break: Dec 26–30)
  • 🏫 Location: KAIST, KRAFTON SoC Building, Daejeon, Korea (Physical presence required; remote possible for extension)
  • 🔬 Research Areas:
    • Generative Models (Diffusion/Flow, multimodal data, inference-time scaling)
    • Multimodal Foundation Models, Spatial Intelligence, RL-based fine-tuning
  • 💻 Internship Activities:
    • Coding tutorials on recent research
    • Small-scale research project (intern ideas welcomed)
    • Weekly technical paper discussions
    • Paper digest meetings for recent publications
  • 📚 Resources Provided: Group slides, publications, course materials on diffusion/flow models and 3D data ML

Designation

Intern – KAIST Visual AI Group

Research Area

  • Diffusion models / Flow-based generative models
  • Generative models for diverse data types
  • 3D generation, editing, and deformation
  • Foundation models (LLMs / VLMs)
  • Video generative models
  • Neural rendering
  • Neural operators / AI for scientific applications

Location

Daejeon, South Korea

Eligibility/Qualification

  • Open to non-KAIST students and international students not enrolled in any Korean institutions.
  • Enrollment in a relevant academic program (preferably in a field related to AI or machine learning).
  • Strong programming skills, as well as research, internship, and project experience.

Job Description

Interns will contribute to the development of cutting-edge machine learning solutions focusing on visual data. Responsibilities include working on ongoing research projects, collaborating with team members, and actively engaging in discussions and workshops.

How to Apply

Interested candidates should apply through the provided online application link on the official website. Required documents include:

  • Transcript
  • CV/Resume highlighting research, internship, and project experience, as well as programming skills.

Last Date to Apply

15 November 2025

For further details and application submission, please visit the official KAIST website.