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. NYU Courant is in the very heart of the world's leading artistic and financial center in downtown Manhattan.

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $75,000 - $84,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, and internal peer equity, as well as market and organization considerations.

Candidates should have a Ph.D. degree and past work in applied and computational mathematics, with a solid background in machine learning and/or numerical analysis. The candidate should have an interest in science and engineering applications.

Please follow instructions in the Interfolio application and upload the following documents:

A brief cover letter explaining interests and goals

Up-to-date curriculum vitae with publications

Two confidential (2) reference letters.