How to Apply
The admission process consists of three steps: Application → Interviews → Internship.
1. Application: Submit your CV, academic transcripts, and English test scores via the Online Application Form (Google Form).
2. Interviews: Shortlisted candidates will go through two rounds of interviews:
1) Interview with Ph.D. students
2) Interview with the professor
3. Internship: You will actively participate in research projects, paper discussions, and collaborations with lab members. This period allows both you and the lab to evaluate mutual fit.
Preparation & Desired Skills
To ensure a productive research experience, we encourage prospective students to be familiar with the following:
Computer Science Basics: The fundamental CS topics, such as Algorithms and Data Structures
Programming: Python, PyTorch, and Hugging Face
Mathematics: Linear algebra, probability, and calculus
English: The ability to understand research papers and communicate ideas clearly is more important than fluent speaking
Critical thinking: Ability to analyze the strengths and limitations of methods, including your own work
🚀 Special Call for Physical AI Enthusiasts (2026)
We are currently expanding our research in Physical AI, aiming to build physically grounded AI systems that can perform complex tasks in the real world.
Applicants with experience in robotics, control systems, or simulation environments are particularly encouraged to apply.