{"id":113945,"date":"2016-09-27T00:00:00","date_gmt":"2016-09-26T15:00:00","guid":{"rendered":"http:\/\/175.125.95.178\/job\/13945\/"},"modified":"2026-04-13T05:15:55","modified_gmt":"2026-04-12T20:15:55","slug":"13945","status":"publish","type":"job-post","link":"http:\/\/ee.presscat.kr\/en\/jobs\/13945\/","title":{"rendered":"Postdoctoral positions in brain-inspired AI and model-based fMRI at KAIST"},"content":{"rendered":"

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<\/a>). 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).<\/p>\n

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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).<\/p>\n

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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.<\/p>\n

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Qualifications (type1):<\/p>\n

– PhD in cognitive neuroscience, computational neuroscience, or physics<\/p>\n

– prior experience in (model-based) fMRI analysis is preferred.<\/p>\n

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Qualifications (type2):<\/p>\n

– PhD in electrical engineering, computer science, or applied mathematics<\/p>\n

– strong quantitative background with expertise in stochastic neural network, deep learning, or reinforcement learning simulation<\/p>\n

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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<\/a>. Applications will be reviewed on a rolling basis.<\/p>\n","protected":false},"excerpt":{"rendered":"

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