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Georgia Institute of Technology
11 months ago
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PhD Positions in Computational and Data-Driven Modeling of Cardiovascular Flows and Fluid-Structure Interactions Georgia Institute of Technology in United States
Degree Level
PhD
Field of study
Biomedical Engineering
Funding
Available
Deadline
Expired
Country
United States
University
Georgia Institute of Technology
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About this position
Georgia Institute of Technology is offering PhD positions in the lab led by Assistant Professor Karthik Menon. The research focuses on computational and data-driven modeling for a broad range of applications, including cardiovascular flows, fluid-structure interactions, and vortex-dominated flows. This opportunity is ideal for students interested in interdisciplinary work at the intersection of mechanical engineering, biomedical engineering, and applied mathematics.
The lab's research leverages advanced computational techniques and data-driven approaches to address complex problems in fluid dynamics, with a particular emphasis on biomedical applications such as cardiovascular systems. Students will have the chance to work on cutting-edge projects involving simulation, modeling, and analysis of fluid-structure interactions and vortex-dominated phenomena.
Applicants should have a strong background in computational modeling, data-driven methods, cardiovascular flows, fluid-structure interactions, or related areas. A degree in engineering, applied mathematics, or a closely related field is preferred. The post does not specify funding details, but interested candidates are encouraged to reach out directly to Professor Menon for more information.
To apply, email Professor Karthik Menon with '[2026 PhD]' in the subject line, including your background and relevant documents. The application window is open for the 2026 academic year, with a recommended deadline of August 1, 2026. For more details, visit the LinkedIn profile or post linked above.
Funding details
Available
What's required
Applicants should have a background in computational modeling, data-driven modeling, cardiovascular flows, fluid-structure interactions, or vortex-dominated flows. A relevant undergraduate or master's degree in engineering, applied mathematics, or a related field is preferred. Strong quantitative and analytical skills are required. No specific GPA, language test, or other requirements are mentioned.
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Professors
Assistant Professor
United States
Research Interests
Fluid Mechanics
Exercise Physiology
Blood Flow
Cardiovascular Biomechanics
Cardiac Physiology
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.