KAIST Visual AI Internship in South Korea

International students interested in creating machine learning tools for visual data can apply for a KAIST Visual AI internship in South Korea. The KAIST Visual AI Group is researching advanced technologies for processing, interpreting, and generalizing a range of visual data.

KAIST Visual AI Internship in South Korea
KAIST Visual AI Internship in South Korea

Moreover, through a variety of activities, interns will have the chance to gain practical research experience. Coding tasks covering current research subjects will be given to students.

Undergraduate KAIST internships

Undergraduate KAIST internships will involve weekly sessions where interns will study technical papers in-depth, with two students curating the conversations. Short meetings will be held to quickly review the most recent papers for the paid KAIST internship in South Korea.

During this program, interns will gain advanced, in-depth information and experience that will aid them in their graduate degrees. Before the applications are closed, submit your application today.

Research Topics

  • 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.

Conditions

  • It is expected of interns to dedicate themselves to the internship for a minimum of eight weeks, working full-time.
  • Both computing resources and compensation will be given to interns.
  • Administrative limitations prevent students attending universities outside of Korea from receiving payment.

Benefits

Here are the benefits that you can get from the KAIST Visual AI Internship in South Korea.

  • The host university will pay the interns.
  • Students will gain practical experience conducting course-related research.
  • For the research project, students are free to suggest their own ideas.
  • Students’ in-depth conversations will enhance one another’s prior knowledge.
  • An excellent chance to operate in a global environment.

Required Documents

  • Your CV/resume.
  • A copy of your transcript.
  • Photocopy of academic transcript.
  • Any additional supporting documentation.

Eligibility Criteria

Stated below are the eligibility criteria for the KAIST Visual AI Internship in South Korea.

  • Prior experience in creating deep learning methods is required.
  • Those with a background in Machine Learning for 3D Data or Diffusion Models and Their Applications will be given consideration.
  • During the internship, they must be physically present in the laboratory.
  • Those who are able to continue their internship for the upcoming semester will be given preference. They may have the choice to work remotely.
  • Should promise to stay for the whole eight weeks of the internship.
  • Only if they are enrolled at a Korean university will they receive payment.

Application Procedures

To apply for the KAIST Visual AI Internship in South Korea, first, you will have to visit the official website where you click on the Apply Now button and enter your name and email address. well, after that you can now proceed to mention your year of graduation and department, upload your CV, and then answer all the written interview questions.

However, you can now provide swift answers (1-3 sentences for each question) and then explain your motivation to apply for this internship. Also, you should explain your motivation to apply for the internship and select the courses you have already taken.

Also, you should make a choice of courses you have already taken and then rate your English language proficiency. Briefly explain your research experience and lastly, you should submit your form and wait for feedback. You can visit the official website to get more information on the application process.

Deadline

The due date for the internship program application is 16th November 2024.

Website Link

Official Internship Website; https://visualai.kaist.ac.kr/internship/.

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