Sungjin Ahn

Machine Learning and Mind Lab (MLML) at the Korea Advanced Institute of Science and Technology (KAIST) is recruiting a postdoctoral researcher to work on fundamental challenges toward AGI. The research focus includes reasoning , abstraction , world model learning and planning , compositional generalization , neuro-symbolic world learning , and causal discovery . The broader lab also highlights interests in next-generation foundation architectures, embodied physical AI, robot learning, agent AI, and scientist AI. The position is announced by Sungjin Ahn , Associate Professor in the School of Computing at KAIST, with possible co-advising opportunities with Yoshua Bengio (Mila) and/or Mengye Ren (NYU). This makes the role especially relevant for candidates interested in collaborative, interdisciplinary machine learning research across Korea, Canada, and the United States. Funding is provided through the InnoCORE Fellowship Program 2026 . The post states a competitive salary of KRW 90M+ per year (approximately USD 60K+) and a renewable yearly contract . Applicants should be highly motivated postdoctoral researchers with a strong fit for the listed research areas. The post asks interested candidates to send their CV by email . No formal deadline is stated in the post. For more information and recent publications, see the MLML website.

KAIST AI Computing (Department of AI Computing) is inviting interest from researchers for faculty and postdoc opportunities at the Korea Advanced Institute of Science and Technology (KAIST) in South Korea. The announcement is aimed at people attending ICML 2026 in Seoul who are interested in joining KAIST AI & CS. The research scope is broad and includes machine learning / deep learning , artificial intelligence , computer vision / graphics , natural language processing , systems / networking , theoretical computer science , cybersecurity / privacy , data science / databases , and human-computer interaction (HCI) . The post is shared by Sungjin Ahn , Associate Professor in the School of Computing at KAIST, who appears to be the academic contact for this recruitment call. The post specifically highlights a postdoc (InnoCORE Fellow) opportunity with strong support and collaborative opportunities, and also invites interest from potential faculty candidates. No deadline is stated in the post. Interested candidates are asked to complete the short interest form linked in the announcement. This is a strong fit for researchers in AI and computer science looking for an academic position at a leading Korean institution, especially those planning to attend ICML 2026 in Seoul.

KAIST’s Machine Learning and Mind Lab (MLML), led by Associate Professor Sungjin Ahn, is recruiting a postdoctoral researcher for work on fundamental challenges toward AGI. The research themes include reasoning , abstraction , world modeling , world model learning and planning , compositional generalization , neuro-symbolic world learning , and causal discovery . The lab also highlights related directions such as next-generation foundation architectures, embodied physical AI, robot learning, agent AI, and scientist AI. The position is based at the Korea Advanced Institute of Science and Technology (KAIST) in South Korea and is supported by the InnoCORE Fellowship Program 2026 / InnoCORE National Program. The post states a competitive salary of KRW 90M+ per year (approximately USD 60K+) and a renewable yearly contract . There is also a possibility of co-advising with Yoshua Bengio (Mila) and/or Mengye Ren (NYU), which may be attractive for candidates interested in collaborative AI research across leading labs. Applicants should be highly motivated researchers with a strong fit to AGI-related machine learning, reasoning, planning, abstraction, and world modeling. The post does not mention a formal deadline or portal; interested candidates are asked to email their CV directly to the announcer. For more information, the lab website lists recent publications and research highlights.