Last updated May 29th 2026
For prospective students,
We constantly seek highly motivated and talented students to join our team. If you’re interested, please check our available positions in the following subject areas:
- Bandits, Statistics: This research area is mainly theoretical and investigates various topics in bandits, RL theory, Markov chains, statistics, etc. Applicants with strong math backgrounds or a willingness to learn are preferred. Please refer to our recent works:
- Model Advancement: Foundation models based on the Transformer architecture have achieved remarkable success across a wide range of domains. However, as these models continue to scale, they require increasingly large amounts of computation while still exhibiting fundamental limitations. To address these challenges, the research community has recently explored a variety of new directions, including reasoning-oriented models, agentic systems, sparse attention mechanisms, memory-augmented architectures, model routing, speculative decoding, and adaptive computation. These innovations aim to improve both computational efficiency and performance on complex tasks. Our research pursues ambitious and forward-looking ideas that can drive the next generation of AI models, going beyond incremental improvements to develop fundamentally new paradigms for intelligent systems.
- AI for Math: Recent advances in formal verification tools such as Lean have sparked significant interest in AI-driven mathematical reasoning and theorem proving. There is growing optimism that AI systems may eventually help solve longstanding open problems in mathematics. Success in this area would represent more than a breakthrough in mathematics itself—it would demonstrate AI’s ability to perform complex, rigorous reasoning beyond current human capabilities. Such advances could have far-reaching implications for addressing scientific and societal challenges that require deep reasoning and problem-solving. At OSI, we have recently launched research efforts in this direction and are already producing promising results at the intersection of AI, formal reasoning, and mathematical discovery. [ICLR2026]
- Weather/Climate Foundation Model: We believe AI can be a powerful tool in tackling climate change, and advancing weather forecasting is an important step toward that vision. Working closely with the Korea Meteorological Administration (KMA) and the National Institute of Meteorological Sciences (NIMS), we are developing large-scale weather and climate foundation models aimed at pushing the frontier of AI-driven Earth system prediction. We seek highly motivated applicants with strong coding skills, research experience, and excellent communication abilities.
Open Positions
- MS and PhD students: We have open positions for Spring 2027.
- Interns: The next round will be mid-November 2026.
To apply, please send your CV and cover letter to Prof. Se-Young Yun at the email below. We welcome applications from all backgrounds and identities. Thank you for your interest in joining our team, and we look forward to hearing from you!
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💌 yunseyoung[at]kaist.ac.kr
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