Two postdoctoral positions, funded through Samsung future technology foundation, are immediately available in the Laboratory for Brain and Machine Intelligence, led by Sang Wan Lee, at KAIST (http://aibrain.kaist.ac.kr). The laboratory is affiliated with the department of bio and brain engineering, brain and cognitive engineering program, and KAIST Institute for Health Science and Technology (KIHST).
The positions are initially appointed for one year, and may be extended for up to three years. We offer a competitive salary plus benefits. We also provide opportunities for working with our collaborators (refer to our website for more information).
The project, AI-human coevolution engine, aims to develop a framework that boosts human learning and inference performance. It requires a combination of model-based neuroimaging techniques and a design of various learning algorithms. Research topics include model-based/model-free reinforcement learning, inductive/deductive/transitive inference, and one-shot learning. Details about the project is confidential, but the research proposal will be outlined during an interview.
Qualifications (type1):
– PhD in cognitive neuroscience, computational neuroscience, or physics
– 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 stochastic neural network, deep learning, or reinforcement learning simulation
The positions are open until filled. Interested please send a cover letter, a CV and a list of two references to sangwan@kaist.ac.kr. Applications will be reviewed on a rolling basis.
