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Opportunity at Naval Research Laboratory (NRL)

Physics Informed Data Analytics and Modeling for Dynamical Systems

Location

Naval Research Laboratory, DC, Acoustics

RO# Location
64.15.04.C0464 Washington, DC 203755321

Advisers

name email phone
Saikat Dey saikat.dey@nrl.navy.mil 202.767.7321

Description

This research opportunity involves development of computational approaches to model the state and response of complex dynamical systems under uncertainty. 

Candidates should have a background in modeling and numerical solution of response of complex multi-physics systems represented by parameterized partial differential equations. Knowledge of mathematical approaches to address uncertainty in such systems is a key need. Experience with combining modern data analytics methods, such as machine learning and deep learning, with physics-based reduced order model, using principal component analysis or similar techniques, is desired. Ability to design, implement and verify and validate algorithms is expected.

Keywords:
Parameterized partial differential equations; reduced order modeling; principal component analysis; proper orthogonal decomposition; uncertainty modeling and quantification; digital thread; digital twin; inverse problems; parameter estimation

Eligibility

Citizenship:  Open to U.S. citizens and permanent residents
Level:  Open to Postdoctoral applicants

Stipend

Base Stipend Travel Allotment Supplementation
$87,198.00 $3,000.00
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