Sort by
Refine Your Search
-
conversion systems (e.g., gas turbine combustors, detonation engines, reciprocating engines, etc.) using CFD solvers (e.g., CONVERGE, Nek5000/NekRS, OpenFOAM, ANSYS Fluent, etc.) on large-scale HPC platforms
-
, Ansys Fluent, etc.). Understanding of fuel sprays, spray-wall interaction, turbulence, chemical kinetics, reacting flow physics, and turbulent combustion modeling. Knowledge of fuel properties and their
-
engineering, or a related discipline. Experience in modeling and simulation of three-dimensional two-phase and/or multiphase turbulent reacting flow applications using CFD codes (e.g., CONVERGE, Ansys Fluent
-
. Experience with ANSYS Fluent, STAR-CCM, and/or FORTRAN and Python programing languages are preferred. Experience in using High Performance Computing (HPC), especially involving use of a Linux environment, is
-
; - Proficiency in electromagnetic simulations using tools such as ANSYS HFSS, FEKO, CST Studio, etc.; - Proven track record of relevant scientific publications in the field. Preferred Qualifications: - Experience
-
, the proximity effect, and the fringing effect is familiar with the simulation tools such as Ansys (Maxwell), or COMSOL is target-oriented, structured thinking, eager to learn new things, and ready to think
-
Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
modeling, simulation with ABAQUS, ANSYS and COMSOL Multiphysics) are required. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research
-
, or similarly complex, thermal energy systems. Experience with commercial CFD codes such as STAR-CCM+, ANSYS Workbench or COMSOL Multiphysics, open-source CFD codes such as OpenFOAM or Nek5000, optimization and
-
programming and simulation tools such as MATLAB, LabVIEW, COMSOL, TOUGH, or ANSYS is highly desirable. Strong interpersonal communication and teamwork abilities. Capacity to work independently while effectively
-
digital signal processing * proficiency in FEM modeling software (Abaqus, Ansys) * experience in machine learning and evolutionary algorithms * documented scientific achievements (lead author of at least