Seulki Lee
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Postdoctoral Research Positions in Embedded AI, Edge Computing, and AI Systems at KAIST Korea Advanced Institute of Science and Technology in South Korea
Degree Level
Master's, Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
South Korea
University
Korea Advanced Institute of Science and Technology

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About this position
KAIST Embedded AI Lab is recruiting postdoctoral researchers for Fall 2026 / Spring 2027. The lab is led by Seulki Lee (Associate Professor, KAIST EE / Department of AI Systems) and focuses on Embedded AI, On-Device AI, AI Systems, Edge Computing, Physical AI, AIoT, and Secure/Confidential AI.
The research direction emphasizes intelligent systems that can learn, reason, adapt, and interact directly on resource-constrained devices such as robots, vehicles, smartphones, wearables, IoT platforms, and cyber-physical systems. The lab highlights opportunities in AI systems & infrastructure, on-device AI agents, embedded physical AI, embedded machine learning, edge intelligence, and trustworthy AI.
What the lab offers includes a competitive salary and benefits, a world-class research environment at KAIST, access to GPU clusters and embedded/robotics platforms, international collaborations, and support for publishing in top venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, MLSys, ASPLOS, OSDI, SOSP, MobiSys, MobiCom, and SenSys.
Applications are reviewed on a rolling basis until the positions are filled. Interested candidates should submit their information through the application form linked by the lab. The post also notes that the lab welcomes motivated members for 2026/2027, including MS/PhD/PostDoc interest, but the explicit opening announced here is for postdoctoral researchers.
Location: KAIST, South Korea. Contact: [email protected].
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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