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Search for University Jobs in Engineering
Job ID:
222808
Ph.D. Students in Nonlinear Dynamics, Vibrations, and Data-Driven Dynamics
University of Memphis
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Date Posted
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Oct. 3, 2023
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Title
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Ph.D. Students in Nonlinear Dynamics, Vibrations, and Data-Driven Dynamics |
University
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University of Memphis
Memphis, TN, United States
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Department
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Mechanical Engineering |
Application Deadline
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Open until filled |
Position Start Date
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Spring/Fall 2024 |
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Dr. Vipin Agarwal, Assistant Professor in the Department of Mechanical Engineering, is actively seeking two highly motivated Ph.D. candidates to join his research team in the dynamic field of nonlinear phenomena, dynamics, vibrations, and controls. This exciting opportunity involves full immersion in cutting-edge research, with a primary focus on unraveling the complexities of nonlinear systems within various high-dimensional contexts. These contexts span both mechanical and non-mechanical domains and employ analytical, computational, and experimental methodologies.
The second project within this research opportunity will require a strong emphasis on data-driven nonlinear dynamics for high-dimensional systems. The objective of this research is to enable early detection and control of undesired dynamical states by applying cutting-edge machine learning and AI techniques.
As a Ph.D. candidate in our program, you will have the privilege of working on innovative projects, contributing to the forefront of engineering and scientific knowledge, and cultivating expertise in this dynamic and multidisciplinary field.
If you are passionate about tackling the challenges posed by nonlinear phenomena and are enthusiastic about making substantial contributions to this exciting field, we encourage you to reach out to Dr. Vipin Agarwal at vipin.a@memphis.edu. To apply, please provide your CV.
We are actively seeking a candidate who is ready to commence their Ph.D. studies either in Spring 2024 or Fall 2024 (with the option for US permanent residents or citizens to begin in Summer 2024). Individuals with prior degrees in Mechanical Engineering, Electrical Engineering, Applied Mathematics, Robotics, or related fields are particularly encouraged to apply.
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