South KoreaKAIST Visual AI internship 2026-27 in South Korea is open to undergraduate students interested in developing machine learning tools for visual data, offering hands-on research experience through coding assignments and small-scale research projects. The internship covers research activities such as weekly paper-discussion meetings and lighter review sessions.
The internship is hosted by the KAIST Visual AI Group at Korea Advanced Institute of Science & Technology (KAIST) in Daejeon, Korea, where advanced technologies for processing, interpreting, and generalizing different visual data formats are researched.
KAIST Visual AI Internship Benefits
- Interns will get paid by the host university.
- Weekly paper-discussion meetings are included.
- Lighter sessions to briefly review recent papers are included.
- Hands-on research experience through coding assignments based on recent research topics.
- Students can work on a small-scale research project based on a group idea.
- Students may propose their own idea for the research project.
- Detailed discussion among students will add value to existing knowledge.
- A great opportunity to work in an international setting.
- Students enrolled at universities in South Korea are eligible for payment.
- Students enrolled at universities outside South Korea can apply but will not receive financial support.
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KAIST Visual AI Eligibility Internship Criteria
- Should have prior experience in developing any deep learning techniques.
- Preference given to those who have taken Diffusion Models and Their Applications or Machine Learning for 3D Data.
- Should be physically present in the lab during the internship period.
- Preference given to those who can extend their internship for the next semester.
- They might have the option to do remote work if extending to next semester.
- Should commit to complete the internship for at least 8 weeks.
- Will only be paid if they are enrolled in a University inside Korea.
How to Apply for KAIST Visual AI Internship
- Enter your name and email address.
- Mention your year of graduation and department.
- Upload your CV.
- Answer all the written interview questions.
- Provide brief answers.
- Explain your motivation to apply for this internship.
- Select the courses you have taken already.
- Rate your English language proficiency.
- Briefly explain your research experience.
- Submit the form.
Frequently Asked Questions (FAQs)
Here are frequently asked questions about the KAIST Visual AI internship. These answers cover eligibility, benefits, dates, and how to apply based only on the information from the official page.
Who is eligible to apply for the internship?
Undergraduate students with prior experience in developing deep learning techniques are eligible to apply, with preference for those who have taken specified courses.
Will interns be paid during the internship?
Interns will be paid by the host university, but payment is only available for students enrolled in universities inside South Korea; international students abroad can apply but cannot be paid.
When are the internship dates?
The internship dates are December 28, 2026 – February 26, 2027.
Where is the internship located?
The internship is located in Daejeon, Korea, at the Korea Advanced Institute of Science & Technology (KAIST).
What research areas will interns work on?
Research areas include diffusion and flow-based generative models, generative models for diverse data types, 3D generation and editing, foundation models (LLMs / VLMs), neural rendering, neural operators, and video generative models.
Is physical presence required during the internship?
Applicants should be physically present in the lab during the internship period.
What is the application deadline?
The application deadline is November 7, 2026 (Saturday), at 11:59 PM Korean Standard Time (KST).
Can students propose their own research idea?
Yes, students may propose their own idea for the research project or work on an idea provided by the group.
How long must interns commit to the internship?
Interns should commit to completing the internship for at least 8 weeks.
How do I apply for the internship?
Apply by completing the form on the official page: enter name and email, mention graduation year and department, upload CV, answer written questions, explain motivation, list courses taken, rate English, explain research experience, then submit.
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