Vanderbilt University
5 days ago
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
Country
United States
University
Vanderbilt University

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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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