The Center for Mathematical Machine Learning and its Applications (CM2LA), affiliated with the Department of Mathematics at POSTECH, invites outstanding researchers to apply for Postdoctoral Fellowship positions. CM2LA primarily conducts research on the mathematical foundations of machine learning and its interaction with other fields such as PDE, statistics, and geometry. Our center is a Science Research Center (SRC) funded by the Korean National Research Foundation (NRF)

CM2LA offers highly competitive postdoctoral opportunities to individuals with well-documented interest in all fields of mathematics, including but not limited to mathematical machine learning, modeling, geometry and PDE. These positions will support independent and collaborative research on one or more of the above topics. We welcome applications from mathematicians of any nationality who are fluent in English.

CM2LA has three research groups dedicated to advancing mathematical machine learning and AI:

• Large-Scale Physics Based AI (Group 1): Studies large-scale physics-based and scientific machine learning for real-world challenges, with applications from PDEs to materials science and climate modeling.

• Geometry-Based Machine Learning (Group 2): Focuses on optimal transport, gradient-based optimization, neural network models, statistics and topological data analysis, applied to neuroscience and genomics.

• Mathematical Modeling and Analysis (Group 3): Studies mixed-scale systems such as fluid-kinetic and quantum-kinetic systems, dispersive PDEs, and mathematical biology through mathematical analysis and machine learning.