Applications are invited for scientists at all levels of seniority at the Center for Computational Mathematics (CCM), in the Flatiron Institute, in all our active areas of research. These include:
● Machine learning, especially the areas of optimization, learning theory, probabilistic modeling, deep learning, and high dimensional data analysis, as well as applications of scientific interest at Flatiron (e.g., cosmological modeling, quantum many-body systems, computational neuroscience)
● Statistical methodology, modeling, and inference
● Probabilistic and differential programming
● Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics
● Numerical methods for partial differential equations and integral equations
● Signal and image processing, with a particular focus on structural biology
● Numerical analysis, including numerical linear algebra and high-order methods
● High performance computing and open source software libraries
The Flatiron Institute, an internal research division of the Simons Foundation, is a community of scientists who are working to use modern computational tools to advance our understanding of science both through the analysis of large, rich datasets and through the simulations of physical processes. Our mission is to advance scientific research through computational methods, including data analysis, theory, modeling and simulation.
Directed by Dr. Leslie Greengard, the mission at the Flatiron Institute’s Center for Computational Mathematics is to create new mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research groups in the areas of numerical analysis, image and signal processing, computational statistics, and machine learning.
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