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Requirements a) Strong skills in the areas of mathematical statistics, optimization, online learning, optimal control, and stochastic processes. b) Relevant experience in online learning theory, demonstrated by
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including data science, statistics, optimization, stochastic modeling, and simulation. Our research addresses important and challenging problems in national security, and we foster close collaborations with
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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Katowice Number of available positions: 1 Key words: nonequilibrium statistical physics, stochastic processes, diffusion, transport, Brownian motor Applications to the open call may be submitted by those who
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the context of Boltzmann machines and neural networks, where stochastic binary units can efficiently perform computational tasks that naturally involve randomness, often more efficiently than deterministic
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, Geosciences, Physics or Mathematics Knowledge of hydrological and meteorological processes and flood risk concepts Experience in statistics, particularly extreme value statistics, and stochastic simulation
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Independent research and publication activities in the field of mathematical optimization with focus on nonsmooth optimization, stochastic optimization, or optimal control of partial differential equations
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), ISCTE. Organic Unit: Centre for Computational and Stochastic Mathematics Scholarship Theme: A Forecasting Framework for Pandemic Monitoring and Decision-Making Duration: 6 months Maximum Duration
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topics such as Hamilton-Jacobi Bellman equations, stochastic optimisation frameworks, game-theoretical analysis of space logistics, high order automated differentiation, neural and Hamiltonian ODEs, data