South Korea KAIST Visual AI Group Winter Internship 2025-2026 | Apply Now

South Korea KAIST Visual AI Group Winter Internship 2025-2026 | Apply Now

The KAIST Visual AI Group invites applications for the Winter Internship 2025–2026, offering an exciting opportunity for undergraduate students to gain hands-on experience in machine learning and artificial intelligence research. This paid internship is ideal for students passionate about generative models, diffusion models, and multimodal AI research.

Internship Overview

  • Host Institution: Korea Advanced Institute of Science and Technology (KAIST)
  • Department: Visual AI Group
  • Location: KRAFTON SoC Building (E3-5), Daejeon, South Korea
  • Internship Period: December 22, 2025 – February 27, 2026 (Break: December 26–30, 2025)
  • Application Deadline: November 15, 2025 (Saturday), 23:59 KST
  • Duration: Minimum 8 weeks (Full-time)
  • Funding: Paid internship (Note: Students enrolled in universities outside Korea cannot receive financial support due to administrative policies)

Research Topics

Interns will contribute to innovative research in machine learning for visual data. Major research areas include:

  • Generative Models — Continuous and discrete diffusion/flow models, and cross-modal generation.
  • Multimodal Foundation Models — Integrating spatial intelligence and multimodal reasoning.
  • Spatial Intelligence & Reinforcement Learning — Using RL techniques to fine-tune visual and spatial understanding.

Internship Activities

During the internship, selected students will engage in research-driven and educational activities, including:

  • Tutorials: Hands-on coding assignments covering cutting-edge AI topics.
  • Research Project: A guided project provided by the lab, with the option to propose independent research ideas.
  • Weekly Technical Meetings: Deep discussions on AI papers and collaborative learning sessions.
  • Paper Digest Meetings: Quick reviews of recent advancements in visual AI.

Eligibility Criteria

To be eligible for the KAIST Visual AI Group Internship 2025, applicants must:

  • Be undergraduate students with prior experience in deep learning or related fields.
  • Have completed or audited relevant KAIST courses such as:

  1. Diffusion and Flow Models (Fall 2025)
  2. Machine Learning for 3D Data (Spring 2025)

  • Be available on-site for the internship period (remote work may be considered for extensions).
  • International students enrolled in Korean universities are eligible for financial support.

Benefits

  • Gain research experience at one of Asia’s top AI research institutes.
  • Receive mentorship from leading KAIST faculty and researchers.
  • Access advanced computing resources for experiments and model training.
  • Opportunity to extend the internship for a research continuation or publication.

Application Process

To apply for the KAIST Visual AI Internship Winter 2025–2026, follow these steps:

  1. Updated CV/Resume (highlighting research, internship, or project experience).
  2. Official Transcript from your current university.

  • Submit your completed application before November 15, 2025 (23:59 KST).

Conclusion

The KAIST Visual AI Group Winter Internship 2025–2026 is a prestigious opportunity for students aiming to build a career in AI research, deep learning, and visual intelligence. Join one of South Korea’s most innovative research groups to explore the future of machine learning and visual AI.

Apply before November 15, 2025, and start your journey at KAIST!

Official Call: https://visualai.kaist.ac.kr/internship/

Frequently Asked Questions (FAQs)

Can non-KAIST students apply?

Yes. However, only students enrolled in universities in South Korea are eligible for financial support.

Can international students stay in KAIST dormitories?

Yes, dormitory accommodation is available for non-KAIST interns.


Is there a break during the internship?

Yes, interns can take up to a one-week break with prior approval.


Is remote work allowed?

The internship requires on-site participation, but extensions may allow for remote continuation.


Previous article

Youth Future Summit 2026 in Switzerland | Fully Fu...

Next article

Japan Kyoto University Amgen Scholars Internship 2...

Related articles

Shorts

Latest Scholarships

Subscribe Scholarship Alerts

Get instant updates on the latest scholarships. Never miss an opportunity!