5,687 parallel-computing-numerical-methods "Simons Foundation" Postdoctoral positions
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 1 day ago
NSF-Simons Foundation-funded National AI Institute for the Sky Position ID: SkAIInstitute-PDASSOCSKAI [#30861] Position Title: Position Type: Postdoctoral Position Location: Chicago, Illinois 60611
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Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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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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” in the Moonshot R&D project (Goal 8) https://www.jst.go.jp/moonshot/program/goal8/84_kotsuki.html [Work content and job description] The selected person will address numerical modeling of heavy
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classical topics in numerical analysis, such as the analysis of nonlinear PDEs or the development of new solver- or coupling-methods including their convergence analysis, but also modeling and simulation
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starting on, or after, 7/01/2026. The position is to be offered jointly with the Center for Computational Astrophysics (CCA) at the Simons Foundation Flatiron Institute in New York City. The successful
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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Deadline 6 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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early-career researcher in applied mathematics, physics, or engineering, with expertise in fluid mechanics1, non-Newtonian fluids, numerical methods, and scientific computing2. Background or strong