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apply at https://careers.epfl.ch/job/Lausanne-Postdoctoral-Position-in-Stochastic-Analysis/1163749755/ . Contact: Bernadette Brun, + 41 21 693 9051 Email: Postal Mail: EPFL SB MATH STOAN MA C2 647
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must demonstrate that they have contributions and publications in the field of statistics and stochastic modeling in finance, risk management, sustainability, demonstrating expertise and independent
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Qualifications: Research interests in stochastic analysis Experience in teaching and mentoring students IMPORTANT: Applications must also be submitted online at https://isu.wd1.myworkdayjobs.com/IowaStateJobs/job
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understand, explain and advance society and environment we live in. Your role Research in the general domain of stochastic analysis, with special focus on stochastic geometry, such as random fields, random
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/or Korte), 3. Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game theory and theory of metric spaces (with
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game
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linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations
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Collaboration on « Probabilistic Paths to Quantum Field Theory », https://probabilistic-qft.org/ , which addresses broad theoretical questions interfacing quantum field theory and probability theory, but also
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of development stochastic models that explain the population behaviour of immune cells subject to controlled stimulation, you will collaborate in research that seeks to explain the weak inheritance features