KAIST Winter Research Internship in South Korea 2026/2027 (Paid)

Applications are now open for the KAIST Winter Research Internship 2026 to 2027, offered by the Visual AI Group at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. The internship is for students with deep learning experience who want to do research in areas such as generative modeling, protein and DNA generation, robot policy learning, and spatial intelligence. It runs from December 28, 2026 to February 26, 2027, and the application deadline is November 7, 2026 (23:59 KST).

The internship is paid and includes computing resources, but students enrolled in universities outside Korea cannot receive payment due to administrative restrictions. Students from other universities and countries can apply. The official page does not mention any application fee. You can check out BS, MS, PhD and postdoc positions here.

Key Details:

• Opportunity Type: Paid Research Internship
• Host Organization: KAIST Visual AI Group (Prof. Minhyuk Sung)
• Host Country: South Korea
• Application Deadline: November 7, 2026 (Saturday), 23:59 KST
• Funding: Paid internship
• Open to All Nationalities: Yes
• Application Fee: None

What This Internship Offers:

• Paid position: Eligible interns receive payment for their work.
• Free computing resources: Run real deep learning experiments without buying expensive hardware.
• Hands on research experience: Complete a small research project, or pitch your own idea.
• New skills: Coding tutorials teach you the latest methods in generative AI.
• Current research exposure: Weekly paper discussions keep you up to date with the field.
• Mentorship and networking: Work in person with students and a well known professor.
• Dormitory access: Non KAIST students can stay in a KAIST dormitory.
• Flexibility: Take a break of up to one week with prior approval.
• Extension option: Interns who stay for the next semester are preferred, and remote work can be considered.

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Eligibility Criteria:

• You must have experience in developing deep learning techniques.
• You must be able to commit full time for at least 8 weeks.
• You must be physically present in the lab in Daejeon throughout the internship.
• Taking or auditing the courses “Diffusion and Flow Models” or “Machine Learning for 3D Data” is preferred but not required.
• Candidates who can continue into the following semester are preferred.
• Non KAIST students can apply. International students enrolled in universities in Korea are also eligible.
• Students enrolled in universities outside Korea can apply but cannot be paid.

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Research Areas Available:

Generative Modeling

• Cross Modal Generative Modeling
• Continuous and Discrete Diffusion and Flow Models
• Reward Guided Sampling

Generative Modeling for Biological Data

• Protein and DNA Generation
• Energy Based Generative Models

Generative Policy Learning

• Online and Offline Diffusion Policy Learning
• Vision Language Action (VLA) Models

Spatial Intelligence

• Embodied Question Answering
• World Modeling

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Documents Required:

• A copy of your transcript
• Your CV or resume (recommended but not required), including your research, internship, or course project experience and your programming skills

Useful Resources:

• Publications page
• Diffusion and Flow Models course
• Machine Learning for 3D Data course

Also Check: RISE Germany 2027 Paid Summer Research Internship

How to Apply:

1. Visit the official internship page.
2. Click the “Application Form” button at the top of the page.
3. Fill in the form and upload your transcript and CV or resume.
4. Submit your application before November 7, 2026, 23:59 KST.

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