Recruitment

How to join 3D Vision & Robotics Lab?

Depending on your status or preference, you can join 3D Vision & Robotics Lab in various forms: intern, graduate student, researcher, or postdoc. Please check how to apply (details) below!

If you are interested in other positions like researcher or postdoc, please send an email ([email protected] or [email protected]) including your transcript, CV, and research topic (3D vision you are interested in). The overall process would be the same as that of the graduate student.

Intern (undergraduate research internship)

  • Role (expected):
    • Studying fundamental 3D vision problems including background knowledge.
    • Participating in a research project in 3D Vision & Robotics Lab (if you want).
  • How to apply?
    • Please send an email ([email protected] or [email protected]) including your academic transcript, CV, and research topic (in 3D vision fields you are interested in).
    • If available, we will schedule a short interview.
  • Required background (not mandatory, but recommended):
    • Basic mathematics (e.g., linear algebra, vector calculus, and probability & statistics).
    • Programming skills (C/C++, Python, MATLAB, etc.)

Graduate students in AI graduate school

  • Important notice:
    • Please contact us first before applying to AI graduate school at UNIST!
    • We highly recommend that you apply for an internship first before applying to graduate programs.
  • How to apply?
    • Please send an email ([email protected] or [email protected]) including your transcript, CV, and research topic (3D vision you are interested in).
    • We will schedule a short interview with the professor before applying.
    • Apply to AI Graduate School officially.
    • Note: In addition to the department-level interview, we have an independent laboratory-level interview (don’t be afraid :))
  • Required background (not mandatory, but recommended):
    • First-class Bachelor’s degree in computer science engineering, electrical engineering, or a related subject field (e.g., mechanical engineering).
    • Basic mathematics (e.g., linear algebra, vector calculus, and probability & statistics).
    • Programming skills (C/C++, Python, MATLAB, etc.).
    • [Prefereable] experience in (3D) computer vision, such as related projects or papers.
  • Interview process (don’t be scared :))
    • If you pass the 1st official screening (document-level) of the department-level interview, we have an internal interview process composed of two parts: 1) interview for checking background and 2) presentation of research papers.

    • 1) Interview for checking background:
      You will have a 30-minute interview to check the required background knowledge for joining the AI graduate school.

    • 2) Presentation of research papers:
      [Paper selection]       Given a set of candidate papers, you first choose one paper for your presentation.
      [Preparation] For a week, you need to prepare a 20-minute presentation, which should involve a summary of the selected paper (i.e., motivation, method, and contributions) and your opinions (i.e., future direction, research idea, etc.).
      [Presenstation] you will present it in front of graduate students in the RVI Lab. It includes a 10-minute Q&A session (30-minute in total).