62 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" research jobs at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
-
, work together, and measure success. Basic Qualifications: A PhD in Materials Science & Engineering, Computational Sciences, Physics, or a related field completed within the last 5 years Demonstrated
-
to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
-
computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
-
concepts and results to national audiences. This position resides within the Quantum Computational Science Group in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory
-
reside in the Materials Joining Group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory
-
. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Integration of memory encryption, confidential computing, and trusted execution environments on both
-
physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
-
Requisition Id 15907 Overview: The Radiation Effects and Microstructural Analysis Group (REMAG) within the Materials Science and Technology Division at Oak Ridge National Laboratory (ORNL) is
-
environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering