79 parallel-computing-numerical-methods-"https:" research jobs at Pennsylvania State University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
SPECIFICS We are seeking a Research Computing Software Engineer to join the Visualization and Decision Support Division (VDS) of the Applied Research Laboratory (ARL) at Penn State. You will work
-
SPECIFICS We are seeking a Research Computing Software Engineer to join the Visualization and Decision Support Division (VDS) of the Applied Research Laboratory (ARL) at Penn State. You will work
-
SPECIFICS The Institute for Computational and Data Sciences (ICDS) at Penn State seeks a Resea rch Computing Engineer to join our technical team. This role supports Penn State’s resea rch mission by
-
SPECIFICS The Institute for Computational and Data Sciences (ICDS) at Penn State seeks a Resea rch Computing Engineer to join our technical team. This role supports Penn State’s resea rch mission by
-
collaboratively. Experience in one or more of the following areas is preferred: quantum algorithms, quantum information theory, quantum simulation, numerical analysis, or scientific computing
-
experience in computational fluid dynamics and turbulence modeling Knowledge of compressible/high-speed flow physics and numerical methods Experience with scientific programming and high-performance computing
-
with external academic and industry partners, and help shape Penn State’s growing quantum computing ecosystem. https://quantum.psu.edu/ About the Institute for Computational and Data Sciences ICDS
-
techniques, or numerical methods Mechanical, Aerospace, or Chemical Engineer with a focus in thermodynamics, structural design, or advanced materials Mechanical, Aerospace, Chemical, or related
-
in Fall 2026. The position supports numerical computational modeling of subsurface flow and well performance, mentors PhD students, and contributes to ongoing research projects. This is a temporary
-
force microscopy, reflection high-energy electron diffraction, spectroscopic ellipsometry, X-ray diffraction, and similar characterization methods. These models serve as the perceptual layer for a