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KAIST Visual AI Group Winter Internship 2025 (PAID)

South KoreaDeadline: Rolling Deadline

KAIST Visual AI Group Winter Internship 2025 (PAID) is a paid internships opportunity based in South Korea. It is open to eligible candidates. Applications are submitted the official application portal, with a deadline of 15th november 2025.

About the opportunity

Programme overview

KAIST Visual AI Group Winter Internship 2025 (PAID) gives international applicants the chance to work and gain professional experience in South Korea. The details below are summarised from the published programme information; always confirm current requirements on the official source page before applying.

Key details

  • University: Korea Advanced Institute of Science and Technology
  • Host Country: South Korea
  • Duration: December 22, 2025, to February 27, 2026

Eligibility criteria

KAIST Visual AI Group Winter Internship 2025 (PAID) is open to eligible candidates. Specific country, field-of-study, and minimum-qualification requirements are set by the host organisation — check the official listing for the authoritative criteria for your profile.

Benefits & funding

Published benefits and support for selected participants:

  • Duration: December 22, 2025, to February 27, 2026
  • Interns will be paid , and computing resources will be provided.
  • Transcript
  • CV/Resume (including research, internship, and project experience, as well as programming skills).

Requirements

Documents and qualifications typically required (confirm on the official page):

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

How to apply

  1. Review the full eligibility criteria and requirements on the official source page.
  2. Prepare the documents listed in the requirements section above.
  3. Submit your application via the official application portal before the deadline (15th November 2025).
  4. Monitor your email / applicant portal for interview or status updates.

Frequently asked questions

Is the KAIST Visual AI Group Winter Internship 2025 (PAID) paid?

The KAIST Visual AI Group Winter Internship 2025 (PAID) is classified as paid. Confirm the exact stipend or salary and any additional support on the official listing before applying.

Where is the KAIST Visual AI Group Winter Internship 2025 (PAID) located?

This opportunity is based in South Korea.

Who can apply for the KAIST Visual AI Group Winter Internship 2025 (PAID)?

KAIST Visual AI Group Winter Internship 2025 (PAID) is open to eligible international applicants. Verify country and field-of-study eligibility on the official page.

What documents are required for the KAIST Visual AI Group Winter Internship 2025 (PAID)?

Applicants are generally asked to provide transcript, cv/resume (including research, internship, and project experience, as well as programming skills). Always confirm the current document checklist on the official listing.

When is the deadline for the KAIST Visual AI Group Winter Internship 2025 (PAID)?

The published deadline varies by country or application round. Check the official listing for the date that applies to your location.

Is IELTS required for the KAIST Visual AI Group Winter Internship 2025 (PAID)?

Language requirements are not clearly stated in the source; verify whether IELTS/TOEFL or a Medium-of-Instruction waiver applies on the official listing.

How do I apply for the KAIST Visual AI Group Winter Internship 2025 (PAID)?

Applications go through the host organisation's own portal. Use the “Apply on official website” button on this page to open the provider's application page in a new tab. GoOpportunities only lists the opportunity and does not process applications.

Important: This information is sourced from official institutions and verified at the time of publication. Deadlines, requirements, and funding details may change — always verify the latest information on the official website before applying. GoOpportunities is a discovery platform and is not involved in the application or selection process.