The Center for Computational Quantum Physics (CCQ) of the Simons Foundation’s Flatiron Institute invites applications for multiple Flatiron research fellow and Flatiron research fellow-software postdoctoral positions. The initial appointment is for two years with possible renewal for a third year. Starting dates are flexible, typically between August 2023 and November 2023. Applications will be reviewed beginning in fall 2022 and considered on a rolling basis until the positions are filled. For full consideration, application by October 17, 2022, is recommended.
Flatiron research fellows-software are positions for scientists who have recently completed their Ph.D. and whose work is more directly aligned with our software and coding efforts. Apply here for the Flatiron research fellow-software position.
The Center for Computational Quantum Physics (CCQ) of the Simons Foundation’s Flatiron Institute invites applications for one or more Associate Research Scientist positions. In exceptional circumstances appointment at the Research Scientist level may be considered. Particular consideration will be given to applicants with a strong background and research agenda in computational approaches to the correlated electron problem including dynamics and nonequilibrium physics..
Associate Research Scientists at CCQ are typically appointed for an initial 3 years period, with a possible extension for an additional 3 years. Promotion to a non term-limited Research Scientist position is possible upon review. Review of applications will start on or about Nov 15, 2022.Learn More
Applications are invited for scientists at all levels of seniority at the Center for Computational Mathematics (CCM) in all our active areas of research. These include numerical analysis and partial differential equations; high-performance computing and software libraries; signal and image processing, especially in neurophysiology and structural biology; visualization of complex scientific data; computational physics, chemistry and biology, including statistical mechanics, biophysics, fluid mechanics and molecular dynamics; machine learning for scientific applications; probabilistic and differential programming; statistical methodology, modeling and inference; and mathematics, algorithms and optimization for deep neural networks.Learn More
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