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

Two fully funded PhD positions are available in the Department of Mechanical Engineering at Vanderbilt University, focused on computational fluid dynamics and scientific machine learning. The positions support research on advanced numerical methods, high-performance computing, neural operators, physics-informed learning and integration of learned models with numerical solvers. The appointments include a comprehensive funding package and are intended to begin in Spring 2027. Both domestic and international applicants from relevant quantitative and engineering backgrounds are encouraged to apply.

Annual stipend (starting at $40,000), full tuition support, individual health insurance, relocation allowance, coverage of student activity and recreation fees.

Open to domestic and international applicants with academic backgrounds such as mechanical engineering, aerospace engineering, applied mathematics, computer science, computational science or related quantitative and engineering disciplines. Applicants should demonstrate preparation relevant to the chosen research track; experience with numerical simulation, programming, computational mathematics, fluid dynamics or machine learning can strengthen an application.

Email requested application materials to qasim.khan@vanderbilt.edu using the subject line format 'Prospective PhD Student – CFD Track – [Your Name]' or 'Prospective PhD Student – SciML Track – [Your Name]'.