Sort by
Refine Your Search
-
machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
-
, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful
-
Engineering, or other field relevant to the job duties. Competency in Python and C++ programming. A commitment to lifelong learning. Minimum of 5 years of experience relevant to the job duties listed Preferred
-
ready. Integrate grid-edge measurements and system-level observations into unified workflows for DER aggregation and parameter identification. Apply machine learning techniques to improve DER/IBR model
-
),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive manufacturing, process physics, thermodynamics, and/or metallurgy to interpret
-
analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
-
data processing and multigroup cross-section generation tools such as AMPX or NJOY. Experience applying artificial intelligence, machine learning, or surrogate modeling methods to nuclear engineering or
-
machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
-
is part of the Geospatial Science and Engineering Division (GSED) at ORNL. The group conducts cutting edge research and publishes from novel machine learning based solutions to large scale geospatial
-
, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful