Join our dynamic team as a Ph.D. student and take the lead in computational efforts for ongoing research in vortex-dominated and turbulent flows. This position offers the chance to collaborate with a diverse group of researchers and work on cutting-edge projects in computational fluid dynamics and machine learning.

As a Ph.D. student in this role, you will be part of an interdisciplinary team working on understanding turbulence in vortex-dominated flows. Responsibilities include using and developing computational fluid dynamics and machine learning methods to advance research in this field. The position is fully funded and offers a stipend, tuition coverage, and benefits.

Qualifications 

• Strong computational and programming experience, particularly in C and Python languages
• Proficiency in working on large research codes
• Experience with MPI is desirable
• Must be highly motivated and interested in turbulence research
• Applicant must have a Master’s or Bachelor’s degree in a relevant field

How to Apply:

Interested applicants should submit the following documents as a single PDF to Dr. Daniel Foti at [email protected]:

1. CV
2. Cover letter
3. Names of at least three references
4. Summary of recent work and interests