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PhD Positions in Machine Learning, Nonlinear Dynamics, and Control (Spring or Fall 2026)

Applications are invited for two PhD positions in Electrical Engineering at Colorado State University in the interdisciplinary areas of Machine Learning (ML) in Nonlinear Dynamics and Control for the start date of Spring or Fall 2026. The Research areas are:

AI and ML in Nonlinear Dynamical Systems
Data-driven models will be developed for tasks such as time-series prediction and the forecasting of extreme events in complex and dynamical systems. Hybrid Control Systems
Control strategies will be explored that combine machine learning methods with classical control theory to enhance adaptability, robustness, and system performance. Collective Behavior in Complex Dynamical Networks
Emergent phenomena such as synchronization and pattern formation will be studied in large-scale networks, with emphasis placed on applications in neuroscience (e.g., brain dynamics) and engineering (e.g., power and sensor networks).

Highly motivated

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U.S. National Science Foundation

Directorate for Technology, Innovation and Partnerships

Directorate for Mathematical and Physical Sciences

Full Proposal Deadline(s) (due by 5 p.m. submitting organization’s local time):

     November 20, 2025

Important Information And Revision Notes

Any proposal submitted in response to this solicitation should be submitted in accordance with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. The NSF PAPPG is regularly revised and it is the responsibility of the proposer to ensure that the proposal meets the requirements specified in this solicitation and the applicable version of the PAPPG. Submitting a proposal prior to a specified deadline does not negate this requirement.

Summary Of Program Requirements General Information

Program Title:

Test Bed: Toward a Network of Programmable Cloud Laboratories (PCL Test Bed)

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