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fluid mechanics, computational geometry, meshing, computational graphics, computational vision, or scientific machine learning in general. Successful candidates will join a community of researchers in
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primarily considered: Scientific computation and optimizations Probability and Statistics Differential equations and dynamical systems Analysis or Applied analysis Algebra and Combinatorics Geometry and
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research across a wide range of disciplines including mathematics, the sciences and computer science, with an emphasis on the theoretical foundation of machine learning, new algorithms and AI for Science
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, Computational Mathematics, Complex Analysis and Complex Geometry, Geometric Analysis, and Mathematical Physics. The School is currently strengthening development in Number Theory and Representation Theory
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years in following disciplines: Pure mathematics: algebraic geometry, differential geometry, partial differential equations, number theory, probability, topology. Applied mathematics: computational
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mathematics modules at all levels, as well as the PhD programme. Research interests in the Department of Physics currently include particle physics, condensed matter physics and materials science, dynamical
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quantum matter and quantum computation. Our research includes (1) AI for Quantum: developing advanced AI algorithms grounded in physical principles and machine learning theory to tackle key challenges in
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, Networking and Distributed Computing, Theory and algorithms; Electronics and Electrical Engineering, including but not limited to Power Systems and Integrated Energy, Power Electronics, Circuits
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interested in candidates working in the following research areas: -- arithmetic algebraic geometry and the BSD conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry
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Algorithms, including Applications in Science and Industry Generative AI and Creative Applications Responsible, Explainable, and Trustworthy AI (Ethics & Governance) AI Systems, High-Performance Computing, and