Call for Internship (Winter 2024)
Application Deadline: Saturday, November 16, 2024, 23:59 KST.
Internship Period: December 26, 2024 - February 21, 2025.
We’re looking for undergraduate interns who are interested in building cutting-edge machine learning technologies for visual data!
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
What You'll Do
As an intern, you'll have the opportunity to cultivate hands-on experience in research while participating in the following activities:
- Tutorials: Curated coding assignments covering recent research topics such as NeRFs and diffusion models.
- Project: A small-scale research project based on an idea provided by our group. Interns are also welcome to pitch their own ideas for the project.
- Weekly Meetings: In-depth discussions on technical papers led by two student presenters (including both graduate students and undergraduate interns) every week.
- Paper Digest Meetings: Lightweight meetings for briefly skimming through recent papers.
Resources
To find more information about our group, visit the followings:
Requirements
- We're looking for students who have experience in developing any deep learning techniques.
- Candidates who have taken or audited the courses Diffusion Models and Their Applications and/or Machine Learning for 3D Data will be preferred (though this is not required).
- Interns will be required to be physically present in our lab during the internship.
Location: KAIST, N1 Bldg, Rm 622, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea 34141. - Candidates who can extend the internship for the following semester will be preferred. (Remote work can be considered for the extension.)
Conditions
- Interns will be expected to commit to the internship for full-time at least 8 weeks.
- Interns will be paid, and computing resources will be provided.
Students enrolled in a university outside of Korea cannot be paid due to administrative restrictions.
How to Apply
Click the ''Application Form'' button at the top. You'll need to prepare the following files:
- a copy of your transcript, and
- your CV/resume (including your previous experience in research, internship, or course projects, and your programming skills. Not required but recommended).
Contact
mhsung (at) kaist.ac.kr
FAQ
-
Q. Can non-KAIST students apply?
A. Yes. -
Q. Can non-KAIST students stay in a KAIST dormitory during the internship?
A. Yes. -
Q. Can international students who are not enrolled in any Korean institutions apply?
A. Yes, KAIST has a Visiting Student Researcher Program, although it is preferred for students who intend to undertake a longer-term internship (at least six months).