Fully Funded Ph.D. Positions in Computational Research, University of Memphis, USA

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

Ph.D. Positions in Computational Research: The Department of Mechanical Engineering at the University of Memphis invites applications for fully funded Ph.D. positions focused on computational research in vortex-dominated and turbulent flows. The positions offer a unique opportunity to work at the forefront of fluid dynamics research, utilizing cutting-edge computational fluid dynamics (CFD) and machine learning techniques.

Fully Funded Ph.D. Positions in Computational Research on Turbulent Flows

Designation:
Ph.D. Students

Research Area:
Computational Fluid Dynamics (CFD), Turbulent Flows, Vortex-Dominated Flows, Machine Learning Applications in Fluid Dynamics

Location:
University of Memphis, Tennessee, USA

Eligibility/Qualification:

  • A bachelor’s or master’s degree in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, or a related field.
  • Significant experience in computational research and programming, particularly in C and Python.
  • Familiarity with large-scale research codes and parallel computing (experience with MPI is desirable).
  • Strong analytical skills and the ability to work in an interdisciplinary research environment.

Job Description:
The selected candidates will lead computational efforts in ongoing research on turbulence in vortex-dominated flows, such as those generated by rotorcraft, wind turbines, fans, and unmanned vehicles. As a Ph.D. student, you will be part of an interdisciplinary team, working closely with postdoctoral researchers, fellow Ph.D. students, master’s students, and undergraduates. The research will involve developing and applying CFD and machine learning methods to better understand and predict turbulent behaviors in complex flow environments. The role includes opportunities to collaborate with national laboratories, publish research findings in top-tier journals, and present at international conferences.

How to Apply:
Interested applicants should compile the following into a single PDF document:

  • CV
  • Cover letter
  • Names and contact information of at least three references
  • Summary of recent work and research interests

Send the PDF to Dr. Daniel Foti at dvfoti@memphis.edu.

Last Date to Apply:
Until position filled

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