Sort by
Refine Your Search
-
Category
-
Employer
- Technical University of Denmark
- Lawrence Livermore National Laboratory
- Michigan State University
- Oak Ridge National Laboratory
- University of Texas at Austin
- Argonne
- Chalmers University of Technology
- National Renewable Energy Laboratory NREL
- New England HERC
- Northeastern University
- Pennsylvania State University
- SUNY University at Buffalo
- Simons Foundation/Flatiron Institute
- The Ohio State University
- UiT The Arctic University of Norway
- University of California, Merced
- University of Central Florida
- University of Maryland, Baltimore
- University of Miami
- University of Minnesota
- University of Oslo
- University of Wisconsin Madison
- 12 more »
- « less
-
Field
-
materials, supported by an NSF CMMI CDS&E award and industry-sponsored projects. The primary function of the position is to develop and cross-validate the experimental and numerical platforms of the
-
-validate the experimental and numerical platforms of the mechanics informatics framework. On the experimental side, this involves designing and fabricating heterogeneous specimens, conducting multiaxial
-
dynamics and large-scale numerical modeling of semiconductor laser arrays at the College of Optics and Photonics (CREOL), University of Central Florida. Our research program investigates collective
-
thermodynamic and kinetic models into an alloy design framework (including material properties models) that uses numerical optimization methods to rapidly screen for promising compositions over vast multi
-
Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model architectures
-
> on research projects related to kinetic equation and its related multiscale model reduction, numerical method, and data-driven/machine-learning approaches, including: • Numerical simulation of kinetic
-
CFD Experience with low fidelity modeling of aerodynamics Experience with numerical optimization Proficient in Python and the various numerical packages Ability to work both independently and as a
-
, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
-
analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are
-
. These algorithms will support large-scale numerical, scientific, and AI models. The researcher will also disseminate findings through publications and presentations in top-tier peer-reviewed journals