Publisher
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North Carolina State University

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Postdoctoral Research Scholar in Dynamical Systems, Data Assimilation, and Scientific Machine Learning North Carolina State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Position is jointly supported by Dr. Farazmand's research grants.

Deadline

Feb 3, 2027

Country flag

Country

United States

University

North Carolina State University

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Keywords

Computer Science
Mathematics
Functional Analysis
Data Assimilation
Dynamical Systems
State Estimation
Analytical Mathematics
Statistics
Pde
Physics

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About this position

Postdoctoral Research Scholar in the Department of Mathematics at North Carolina State University in Raleigh, North Carolina.

Dr. Mohammad Farazmand is seeking a postdoctoral scholar to work at the intersection of dynamical systems, data assimilation, and scientific machine learning. The project is focused on estimating the state of dynamical systems from sparse observational time series, while combining data-driven approaches with high-fidelity and/or reduced-order models of the underlying system.

The appointed scholar will contribute to the development and mathematical analysis of novel methodologies for data assimilation and reduced-order modeling. The work is described as being in close collaboration with Dr. Farazmand, within his research program supported by his research grants.

This is a research-focused postdoctoral opportunity in an applied mathematics environment, with emphasis on rigorous analysis, modeling, and computational approaches to complex dynamical systems.

Funding details

Position is jointly supported by Dr. Farazmand's research grants.

What's required

A Ph.D. in Applied Mathematics, Mathematics, or a closely related field is required prior to the start date. Applicants should submit a research statement showing relevant experience in dynamical systems, control, and/or scientific machine learning. A strong background in at least one of dynamical systems and control, functional analysis, or partial differential equations is preferred, and a demonstrated record of high-quality research with peer-reviewed publications is expected.

How to apply

Apply through the MathJobs listing and submit a cover letter, curriculum vitae, research statement focused on data assimilation and machine learning, and three reference letters. Review begins on 2026-12-15 and continues until the position is filled.

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