Postdoctoral Researchers in Machine Learning, Vision, Weather/Climate AI, Agentic AI, and Egocentric Video at KAIST Korea Advanced Institute of Science and Technology in South Korea

The Machine Learning and Vision Lab (MLV Lab) at the Korea Advanced Institute of Science and Technology (KAIST), led by Associate Professor Hyunwoo J. Kim, is recruiting InnoCORE postdoctoral researchers.

This opening is centered on research in machine learning, computer vision, and related areas, with three highlighted directions: Weather/Climate + AI, Agentic AI, and Egocentric Video. The weather/climate track is especially relevant for candidates with backgrounds in atmospheric science, earth science, meteorology, or climate science. The Agentic AI track targets researchers in artificial intelligence interested in orchestration and AI co-scientists. The video track focuses on egocentric video understanding and streaming video understanding.

The lab states that it works on fundamental open problems in machine learning and computer vision, including video foundation models, video question answering, video-language models, and multimodal scientific data such as weather patterns and molecules. The lab also emphasizes scalable and efficient AI for real-world and resource-limited environments.

Funding and support: the position includes a salary of KRW 90 million per year (including institutional contributions) plus additional support, a research fund of KRW 50 million per year plus additional support, and access to GPU servers. The lab also notes collaboration opportunities with leading domestic and international universities and industry partners.

Eligibility highlights: applicants should hold a Ph.D. and align with one of the listed research areas. The post specifically welcomes candidates with relevant doctoral training in atmospheric science, earth science, meteorology, climate science, or AI-related fields depending on the track.

How to apply: email the lab at [email protected] with a CV and two representative publications. Optional materials include a research statement and other evidence of excellence.

Institution: Korea Advanced Institute of Science and Technology (KAIST), South Korea.