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Georgia Institute of Technology

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

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Country

United States

University

Georgia Institute of Technology

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Keywords

Biomedical Engineering
Mechanical Engineering
Mathematics
Fluid Mechanics
Data-driven Modeling
Computational Modelling
Fluid-structure Interactions
Applied Maths
Cardiac Flow

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

University Name
Country flag

United States

Research Interests

Fluid Mechanics

Exercise Physiology

Blood Flow

Cardiovascular Biomechanics

Cardiac Physiology