26 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
motivated and talented postdoctoral research associate(s) to join our dynamic team. This role lies at the exciting intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI) at
-
candidate is expected to bring strong expertise in scalable deep learning, high-performance computing (HPC), scalable data management, Linux environments, and production-quality scripting for HPC
-
high-performance computing platforms. Perform large-scale simulations of fission and fusion systems employing models for turbulence, heat transfer, magnetohydrodynamics, etc. Employ finite element
-
on high-performance computing (HPC) environments using distributed data or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi
-
within ORNL and with the neuromorphic computing and embedded systems communities worldwide. Publish research in high-impact journals and conferences. Author peer-reviewed papers, technical papers, reports
-
Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
-
algorithms/workflows compatible with the leadership-class high-performance computing facilities available at ORNL and other DOE facilities. Independently plan and conduct simulations while routinely
-
-order models and ML/AI tools applied to macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and ML Experience working in a multi-disciplinary
-
experimental gas flow systems and gas analysis methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing
-
platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous