Project detail

Description :

We are currently recruiting undergraduate research assistants/interns for 2025 Fall. We conduct many interdisciplinary research projects on the development of technologies for Active Aging (active and healthy aging), Human-centered Human-AI/Robot Interaction, and Social and Empathic AI.

  1. Qualifications
    1. Proficiency with programming languages (Python, R) for AI, Large scale data, and Statistical analysis
    2. Having taken psychological statistics and research methodology classes
    3. Willing to work 12 hours a week, for one semester at the least
    4. Responsible, cooperative and strict about deadlines
    5. Both recent undergraduate students / alumni are applicable
    6. Available to work offline in lab (1 - 2 days per week)

  2. Responsibility
    1. Participation in lab meetings (offline, biweekly)
    2. Participation in weekly journal clubs/methodology workshop (offline, biweekly)
    3. Assistance in lab research projects
      • 1. literature review
      • 2. data collecting, preprocessing, and coding
      • 3. data labelling for AI
      • 4. participating in usability tests

  3. Preferred Qualifications
    1. Proficiency with big data/deep learning/machine learning/large language model (Advantage for practical experience)
    2. Have experience with tools that are used for UI/UX and Virtual Reality (VR) (Including Unity, Unreal Engine, Blender-3D, Figma etc.)

      3. * Even without prior programming experience, you can learn as you work, so there’s no need to worry.


  4. How to Apply
    1. Fill out the application form.
    2. Send an email to Professor Hahn(swhahn@snu.ac.kr) and to the lab manager (deongdeoring@snu.ac.kr), with the following attachments:
      1. Copy of the RA application form
      2. CV (pdf or url)
      3. programming portfolio (free format including github repository, ipynb notebook, coursework certificate)

      * The title of your email should be [RA application]

  5. Number of opening position: 0
  6. Application Deadline: September 12th, 2025
  7. Recruitment Process
    1. Document Screening
    2. Interview (Only qualified applicants will be contacted for an interview)

      3. *Applications will be reviewed on a rolling basis


*Do not send the transcript.
*Your experience as a research assistant in our lab does not guarantee acceptance to graduate school.