Publisher
source

Vanderbilt University

Fully Funded PhD Positions in Computational Fluid Dynamics and Scientific Machine Learning at Vanderbilt University Vanderbilt University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD positions with a stipend starting at $40,000 per year, full tuition support, paid individual health insurance, a relocation allowance, and covered student activity and recreation fees.

Deadline

Oct 15, 2026

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Country

United States

University

Vanderbilt University

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Aerospace Engineering
Mathematics
Fluid Mechanics
Computational Science
High Performance Computing
Incompressible Flow
High-order Methods
Physics
Applied Mathematic

Suggested positions

About this position

Ahmad Peyvan is recruiting two fully funded PhD students to join his research group in the Department of Mechanical Engineering at Vanderbilt University, with an anticipated start in Spring 2027.

The positions span two research tracks: Computational Fluid Dynamics with Scientific Machine Learning and Scientific Machine Learning for Fluid Dynamics. Topics include high-order numerical methods, DGSEM, compressible and high-speed flows, adaptive and high-performance computing, ML-assisted solvers, reduced-order modeling, neural operators, physics-informed neural networks, geometry-dependent surrogate modeling, and scientific foundation models.

The funding package includes a stipend starting at $40,000 per year, full tuition support, paid individual health insurance, a relocation allowance, and covered student activity and recreation fees.

Applicants do not need to already have expertise in both CFD and machine learning. The opportunity is open to domestic and international applicants from mechanical or aerospace engineering, applied mathematics, computer science, computational science, and related fields.

Interested students should review the attached announcement and email the requested materials to [email protected] before submitting an official application. The suggested email subject is: Prospective PhD Student – [CFD Track or SciML Track] – [Your Name]. Strong-fit candidates will be encouraged to submit a formal application by October 15, 2026.

Funding details

Fully funded PhD positions with a stipend starting at $40,000 per year, full tuition support, paid individual health insurance, a relocation allowance, and covered student activity and recreation fees.

What's required

Applicants should have a strong research fit and be interested in computational fluid dynamics and/or scientific machine learning. The post says prior expertise in both CFD and machine learning is not required. Domestic and international applicants from mechanical or aerospace engineering, applied mathematics, computer science, computational science, and related fields are encouraged to apply.

How to apply

Review the attached announcement and email the requested materials to [email protected] before submitting an official application. Use the subject line: Prospective PhD Student – [CFD Track or SciML Track] – [Your Name]. Candidates with strong fit will be encouraged to submit a formal application by October 15, 2026.

More information can be found here

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