Job Description
The Postdoctoral Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help to develop, implement, and apply novel computational techniques to problems of scientific importance, in collaboration with application scientists and engineers.
Topics of interest include data-driven modeling via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport-dominated parametrized problems, control, and uncertainty quantification.
The start date is flexible and the initial appointment will be for one year with yearly extensions depending on performance and funding.
NYU Courant is a highly respected institute for cutting-edge research and advanced training in applied mathematics and computer science. N...
Topics of interest include data-driven modeling via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport-dominated parametrized problems, control, and uncertainty quantification.
The start date is flexible and the initial appointment will be for one year with yearly extensions depending on performance and funding.
NYU Courant is a highly respected institute for cutting-edge research and advanced training in applied mathematics and computer science. N...