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processes, stochastic control, optimization, or reinforcement learning; • Solid mathematical training and ability to work with rigorous proofs; • Familiarity with Markov decision processes, dynamic
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theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment is for about two years, and the starting salary is no less than KRW 66,000,000. The appointment
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches