Postdoctoral Researcher

MPOWIR Mentoring Physical Oceanography Women to Increase Retention is seeking a highly motivated Postdoctoral Researcher to join our team at Brown University. This exciting opportunity is part of a collaborative project with the Dedalus developer team and Profs. Steven Tobias and Brad Marston to extend the Dedalus framework for the Direct Statistical Simulation of partial differential equations in multi-scale physics and fluid dynamics.

1. Develop and implement object-oriented and functional programming practices using Python to derive mathematical equations and solve systems of equations for statistical properties of fluid flows.
2. Apply mathematical statistics and multi-scale modeling techniques to PDEs, with a focus on spectral numerical methods.
3. Collaborate with the Dedalus developer team and Profs. Tobias and Marston to develop a flexible package for generating and solving systems of equations.

A background in Machine Learning or computational optimization would be beneficial in this role. The successful candidate will have the opportunity to engage in a collaborative development process, including public peer-review of code. This project combines new areas in statistics, PDEs, and automated computational science, requiring an eagerness to learn and apply diverse mathematical and computational techniques to physical applications.

• Ph.D. in Physics, Mathematics, or a related field.
• Strong programming skills in Python, with experience in object-oriented and functional programming practices.
• Excellent mathematical statistics and multi-scale modeling skills, with a focus on PDEs and spectral numerical methods.
• Ability to work collaboratively in a team environment.

We offer a competitive salary and benefits package, as well as the opportunity to work with a talented team of researchers and developers. If you are a motivated and talented individual with a passion for computational physics and mathematics, we encourage you to apply for this exciting opportunity.