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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 10 days ago
the Sierra project team (https://www.di.ens.fr/sierra/ ) within the Inria Paris (https://www.inria.fr/en/inria-paris-centre ) to work under the supervision of Adrien Taylor and Aymeric Dieuleveut (http
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areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory. Our ideal candidate already has experience with modern methods in probability theory
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). The appointment is for 2+1 years and comes with travel support. It is funded by the Simons Collaboration on « Probabilistic Paths to Quantum Field Theory », https://probabilistic-qft.org/ , which addresses broad
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Application deadline: 07/01/2026 Research theme: Theoretical Physics, Quantum Theory, Quantum Information, Applied Mathematics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5 yearlong
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colleague who enjoys working in an international and interdisciplinary environment. Does that sound like something for you? Apply to join our team! Where to apply Website https://iventajobdata.eu/bestmedia
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Duration: 1 year, renewable We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://careers.epfl.ch/job/Lausanne-Postdoctoral-Position-in-Stochastic-Analysis
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optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will
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. The main research areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory. Our ideal candidate already has experience with modern methods in probability
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, United States of America [map ] Subject Areas: Mathematics, Probability and Statistics, Financial Mathematics, Actuarial Mathematics, Stochastic Analysis, Data Science, and Statistical Learning Appl Deadline: 2026/05/31 11
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. Beiglböck. The main research areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory. Our ideal candidate already has experience with modern methods in