Brain x Machine Intelligence Lab

Brain x Machine Intelligence Lab @ KAIST

Laboratory for brain and machine intelligence, KAIST

Joining our lab

  • One postdoc position (KAIST Center for Neuroscience-inspired AI)

  • MS/PhD students (refer to the details below before application!)

  • Undergraduate research opportunities

Graduate students in computational/decision neuroscience, brain-inspired AI, and BCI

We seek qualified candidates interested in brain-inspired AI, computational/decision neuroscience, and BCI. If interested, email sangwan(AT)kaist.ac.kr with a brief statement about your research interest, CV, and a transcript.

There are multiple ways to join our lab:

  • Brain & Cognitive Sciences (MS-PhD integrated) - Upon completing your doctoral studies, you may choose between earning a Doctor of Engineering (EngD) or a Doctor of Science (ScD/DSc) degree. Students with MS are also eligible to apply; they will start as Ph.D. students.

  • Graduate School of AI (MS only) - You must consult me before applying.

  • Graduate School of Data Science (MS only) - You must consult me before applying.

  • KAIST International Graduate Admission (PhD / MS-PhD integrated) - You must consult me before applying. You may apply for this program through BCS or AI graduate school.

Undergraduate research opportunities

KAIST individual study and graduate study are available. If interested, send an email to sangwan(AT)kaist.ac.kr

(1) a brief statement about your research interest and
(2) a transcript. 

URP program : if you were successful in the individual study, you may apply for the URP.

Postdoctoral positions (ML/computational neuroscience/BCI)

KAIST center for neuroscience-inspired AI, led by Sang Wan Lee, at KAIST (http://aibrain.kaist.ac.kr), is seeking talented postdocs. We offer a competitive salary plus benefits. We also provide opportunities for working with our collaborators.

Qualifications (type1):
- PhD in cognitive neuroscience or computational neuroscience
- prior experience in (model-based) fMRI analysis is preferred.

Qualifications (type2):
- PhD in electrical engineering, computer science, or applied mathematics
- strong quantitative background with expertise in deep learning or reinforcement learning

*Interested please send a CV and a list of two references to sangwan(AT)kaist.ac.kr.

All applicants should go through a KAIST’s formal review process. Applications will be reviewed on a rolling basis

Researcher position

No positions open at the moment