Call for Internship (Summer 2026)

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

As an intern, you'll have the opportunity to gain hands-on research experience in research while participating in the following activities:

Tutorials: Curated coding assignments covering recent research topics.
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 each week by two student presenters (including both graduate and undergraduate students).
Paper Digest Meetings: Lightweight meetings for briefly skimming through recent papers.

To find more information about our group, visit the following:

We're looking for students who have experience in developing any deep learning techniques.
Candidates who have taken or audited the courses Diffusion and Flow Models 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, KRAFTON SoC Building(E3-5), Rm 510, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea 34141.
Candidates who are available to continue the internship for the following semester will be preferred. (Remote work can be considered for the extension.)

Interns will be expected to commit full-time to the internship for 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.

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).

mhsung (at) kaist.ac.kr

Q. Can non-KAIST students apply?
A. Yes. But we cannot provide financial support for students enrolled in institutions outside Korea. (International students enrolled in universities in Korea are eligible.)
Q. Can non-KAIST students stay in a KAIST dormitory during the internship?
A. Yes.
Q. Is it possible to take a break during the internship?
A. Yes, a break of up to one week is allowed with prior discussion and approval.