Environmental C.F.D. Group
The Environmental Computational Fluid Dynamics (CFD) Group’s research is focused on two main themes which are inextricably connected. Our primary objective is to investigate, using numerical simulations, the physics of the interplay between turbulence and internal gravity waves in both mid-water and near the bottom/top and lateral boundaries of the ocean and lakes. At the foundation of these computational studies lie in-house-designed high-resolution/high-accuracy element-based numerical methods. These numerical techniques, often borrowing from the cutting-edge of computational mathematics, allow for robust and reliable long-time simulations of the physical processes of interest at governing parameter values as close as possible to those encountered in the natural environment. Intrinsic to our research is the use of high-performance parallel scientific computing and advanced visualization tools. Our research is inherently interdisciplinary and involves interactions with researchers in theoretical and experimental fluid dynamics, physical oceanography and limnology, applied mathematics, computer science, marine biology and ocean acoustics.
Prospective Graduate Students:
The Environmental Computational Fluid Dynamics group at Cornell is seeking highly motivated and capable applicants to apply now for a graduate assistant opening in Fall 2018. A strong background is desired in numerical methods for the solution of partial differential equations, combined with good programming skills in the context of using actual research codes. Experience in parallel high performance computing is ideal, though not necessary. The applicant is expected to have a solid foundation in basic fluid mechanics and a passion for its application to the natural environment. Furthermore, we seek independently-thinking, focused and disciplined individuals who bring their tasks to completion and are not afraid of the unknown. Applicants who are good communicators with a team attitude and a grounded and well-rounded approach to science and life are highly preferred.
If interested please email Professor Pete Diamessis at email@example.com .